Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know our Team:

Grab’s Fulfilment-Dispatch Data Science team works on challenging and fascinating problems surrounding Grab’s allocation capabilities — ensuring our passengers, driver-partners, consumers and merchants enjoy a reliable fulfilment experience.

Allocation is simply this question: “Given a new booking request, which driver-partner is the best match for this booking, accounting for all other pending bookings now, and all potential bookings and driver-partner movements in the future?” Efficiently solving this problem requires working on domains and techniques such as statistical/machine/deep-learning-based prediction, optimization, simulation, graph theory, offline and online learning of contextual parameters, and geospatial data mining. We apply these techniques on our high-volume high-velocity datasets to drive optimal business outcomes.

We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for candidates who are excited to work on challenging problems, who can apply their breadth and depth of knowledge to design innovative solutions, and who push boundaries in improving the growing suite of allocation-related services for our users.

Get to know the role:

• Design creative scalable allocation methods that adapt to changing market conditions
• Understand business needs, identify areas for investigation, translate them to technical problems to be solved
• Build, deploy and own production-grade models and services as they serve millions of requests every day
• Iterate on existing allocation features to drive continual improvement

The day-to-day activities:

• Research, analyze high-volume high-velocity data, build quick prototypes, and engineer them into production
• Design data pipelines and conduct experiments to measure the impact of your work
• Effectively communicate results and their implications to business/product stakeholders

The must haves:

• PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
• Strong Machine Learning fundamentals:

1. Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
2. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.

• Strong aptitude in statistics and large-scale data analytics:

1. Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
2. Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
3. Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)

• Strong software development skills:

1. Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
2. Familiar with Git-based source control, code reviews, test-driven development, cloud-based development (AWS/Azure)

• Self-motivated, independent learner, and willing to share knowledge with the team
• Detail-oriented and efficient time manager in a dynamic working environment
• Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.

Nice to have:

• Experience in working with geospatial/mobility/logistics data
• Experience in designing probabilistic models at scale in production
• Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
• Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agent-based simulation, adaptive control, reinforcement learning
• Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

• Experience and deep understanding of advanced analytics and modern machine learning techniques.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Experience with data visualization tools (Tableau, PowerBI etc) and techniques, able to use visual tools to communicate data findings to non-technical audience.
• Strong software development skills.
• Fluency in Python.
• Strong verbal and written communication skills.
• Fresh Graduates are welcomed.
• Experience working with cloud services e.g GCP, AWS and/or Cloud certifications.
• Experience working with software engineering best practices (version control, agile, devops)
• Experience in web development (Angular, React etc)
• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Primary Responsibility, but not limited to

• Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Deploys data science models and lead the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Requirements

• Experience and deep understanding of advanced analytics and modern machine learning techniques.
• Hands-on experience with image and video analysis techniques and frameworks, such as traditional computer vision, object detection, image classification etc.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Experience with data visualization tools (Tableau, PowerBI etc) and techniques, able to use visual tools to communicate data findings to non-technical audience.
• Strong software development skills.
• Fluency in Python.
• Strong verbal and written communication skills.

Good to have:

• Exposure to the semiconductor industry.
• Exposure to image processing systems hardware.
• Experience working with cloud services e.g GCP, AWS and/or Cloud certifications.
• Experience working with software engineering best practices (version control, agile, devops), especially MLOps.
• Experience in other languages (Rust, R, C++ etc).
• Experience in web development (Angular, React etc).

About Us:

Founded by Temasek & UST, Temus is a start-up on a mission to empower Singapore’s Smart Nation and enhance the lives of citizens.

Our services span from strategic advisory through to digital, data and AI delivery. We work across a wide variety of use cases from financial services, sustainability and environmental science to research, health and public sector. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are recruiting strong and highly motivated people to join us on this mission.

Role Summary:

Join our international team of Data & AI consultants, working to build data platform to enable real-time operational systems, analytical systems and AI/ML systems. You will be working on one of our customer projects, working with the customer stakeholders to drive the best outcome using smart solutions and techniques. You will be working with wide range of existing & cutting-edge technologies to achieve this. We expect you to be active thinker, designer and implementer to make sure we collective build the best solutions possible.

Key Roles & Responsibilities:

Key Responsibilities:

• Design Data & AI Platforms: Use your experience and best practices to adapt to the customers and requirements needs.
• Data Pipeline Development: Design, construct, and maintain efficient and reliable data pipelines to support data analysis & AI using Python/R and tools like Docker and Jupyter Notebook.
• Container-based serviced development and Management: Utilize container tech (e.g., Kubernetes, OpenShift) to deploy and manage scalable, highly available data & ai infrastructure that supports genomic data processing and analysis.
• Collaboration and Innovation: Work closely with bioinformaticians, genomic scientists, and other stakeholders to understand data needs and deliver innovative data engineering solutions.
• Platform observability and maintenance design: Apply knowledge and experience in monitoring, logging, alerting, SRE (Servicer Reliability Engineering) to ensure platforms fulfilling the stakeholder expectations including proactive issue resolution.
• Continuous Learning and Improvement: Stay abreast of the latest developments in data engineering, & AI, SRE and related fields to improve data handling and pipeline efficiency continually.

Qualifications:

• Minimum 4 years of Proven experience in data engineering, designing, building and operationalizing data solutions and applications (with batch or streaming data)
• At least 2 years of experience with container technology platforms (Kubernetes, OpenShift …)
• At least 1 year experience with Cloudera or Teradata (for data extraction only)
• At least 2 years of experience in high regulatory environments like fintech
• Proficient in at least one core language: Python, Java, (Perl)
• Knowledge of Kafka for data streaming (producer, topics and consumers)
• Excellent understanding on SQL data storage structures and storage/query optimizations
• Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc.
• Exposure to SRE (Servicer Reliability Engineering) teams or practices
• Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing

Nice to Have:

• Exposure to Jupyter Notebooks
• Exposure to JFrog Artifactory
• Experience in Spark
• Hands on experience on AI/ML projects

Further on soft skills:

• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open-source volunteering, tech meetups etc.)
• Ability to work independently with minimal guidance
• Ability to work as part of a large team
• Ability to work within an unstructured environment with ability to multitask well

Equal Opportunities

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world!

• Develop Your Potential: We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
• Diverse, Equal Opportunity: We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
• Competitive Compensation & Benefits: We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

You will be engaged as a Data Engineer in PSA Group Data For Excellence (DFE), supporting PSA’s Data Analytics initiatives and PSA Global Data Analytics Platform (GDAP). Besides creating and maintaining data pipelines, data models; enhancing GDAP features; you will work with other DFE members to promote data culture and data analytics competency within PSA.

Job Description:

• Work with PSA business units globally to set up their data analytics needs within GDAP
• Enable the timely availability of good quality data to facilitate data oriented management decisions
• Work with new data sources from around the world to provide data to our Global Data Analytics Platform built on Azure Cloud
• Implement automated Data Quality measures to sieve out bad quality data for timely rectifications by data sources
• Design, construct and maintain Datawarehouse models to support PSA global, regional and local business units data analytics needs
• Create and maintain data pipelines to transform and load data from data lake into Datawarehouse models
• Create and maintain data science sandbox, machine learning tools, Databricks, data marts, data catalogue, data lineage, etc
• Continuous enhancement of GDAP to keep the platform relevant and ready
• Work and collaborate with PSA data analytics team at all stages of CRISP-DM Methodology
• Align to PSA data analytics policy, standards and best practices and document as required
• Jointly organize data analytics workshops and data seminars to promote data culture and data analytics competency within PSA

Technical Requirements:

• Degree from a recognised university, preferably in Data Analytics or Computer Science domain;
• Must have hands-on experience as a Data Engineer using Microsoft data tools;
• Must have knowledge of data warehouse concept (Star, snowflake or data vault) methodology and experience in designing data warehouse dimensional modelling;
• Must have hands-on experience in Azure Data Factory, Azure Synapse Analytics / Datawarehouse and Azure Analysis Services;
• Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
• Knowledge of Microsoft Power App, Azure Databricks, Azure HDInsight or Power BI or Microsoft MDS or R or .Net or C# or NoSQL or open source data analytics software will be advantageous.
• Fresh local graduate with relevant skillsets and hands-on experience will be considered.

Soft Skills Requirements:

• Analytical, meticulous, team player;
• Strong written and oral communication skills in English. Ability to communicate in additional languages is added advantage;
• Strong interpersonal skills to liaise effectively with users and stakeholders; overcoming challenges of language, cultural and time zones;
• Ability to work under pressure towards fixed deadlines without jeopardizing standard of work.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

· Envisioning and preparing the Bank’s futures information systems

· Partnering and supporting core banking flagships and transverse areas in their large scale development projects

· Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Position

Data Security Expert- Data Security and Endpoint Security

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of CA-CIB in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Detailed Job Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident,Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Work Schedule

• Work schedule is mainly focused to support Asia and EMEA (Paris) time zone; however, may have to support during non-offce hours for critical incidents or escalation as per the assigned on-call support requirements;
• Rotational Shift schedule is followed;
• Work Hours: 2 PM – 11 PM SGT (with 1 week of General shift 9 AM – 6 PM SGT).

Job Description, Roles, and Responsibilities (Commissioning Manager):

A Commissioning Manager effectively manages, leads and supervises the entire quality & commissioning process including contractual deliverables. Coordinate with all departments to ensure a smooth handover from construction through to commissioning and client hand over, including extensive follow-up with contractors, vendors, and the client site team.

ROLES AND RESPONSIBILITIES

• Chair weekly Commissioning meeting with vendors
• Chair daily site Commissioning Meeting following Power On
• Issue daily Notification of Energization (NoE) during Power ON phase
• Ensure the Calibration of ALL test equipment to be used is valid and in date.
• Oversee the correct implementation of the ESSW system including Lock Out Tag Out.
• Ensure registers are maintained for LOTO and related control measures (Lock Box, Authorized Persons).
• Coordinate with the site safety team to endure source of energy risks are covered in site awareness.
• Coordinate safety watch requirements for Commissioning activities.
• Coordinate room access control personnel for sign in, sign out registers and permit to work controls in Commissioning Areas. Assistance by Safety Team
• Ensure adequate safety signage is installed by the HSE team, including live warning labelling and contact persons for Electrical and Mechanical plant.
• Coordination with ALL vendors for documentation (RAMS, Red Line Drawings, Start Up Scripts, SAT)
• Plan Mobilization dates and resources for 3rd Party vendors and commissioning contractors
• Plan and manage the Testing & Balancing team activities.
• Assist Engineering in developing the Equipment Tagging Register for Equipment Labelling (Traffolyte / SS)
• Coordination of vendors/engineering for all inter connections between packages (HW & SW)
• Liaise with the QAQC Inspectors for progress updates during the installation process.
• Liaise closely with the ELV Lead for EPMS/BMS readiness, per package as per the commissioning program.
• Manage the QAQC snagging list and ensure follow up of closures with the Construction Managers, not to delay the commissioning schedule.
• Prepare and distribute a issues log, independently to the Completion Management System CIL for tracking issues or deficiencies during the installation phase.
• Coordinate the closure of all Commissioning Issues raised in the CMS during FAT, L2, L3, SAT and IST
• Manage closely the static testing of MV & LV power cabling, ensuring the installation adheres to approved drawings. Any “To/From” deviations to be escalated immediately.
• Prepare and issue a weekly Commissioning Dashboard report.
• Prepare and issue a 2-week static and pre-functional testing look ahead program - To be updated and issued on a weekly basis.
• Manages and motivates the QA/QC and Cx teams, acts as a champion for all policies and procedures and leads by example, particularly in the areas of work ethics, quality, health, and safety.
• Plan and arrange vendors to attend for System Level and Integrated System Testing Demonstrations
• Leads engineers involved in “hands on” System Level Testing and IST Demonstrations

QUALIFICATIONS & EXPERIENCE:

• Electrical, Instrumentation or Mechanical Engineer.
  BS. Degree or Equivalent in trade experience (15 Years) with a recognized trade certificate.
• 5+ years in area specific project experience.
• Multi-discipline understanding (Electrical & Mechanical, including ELV)
• Very good English language skills.
• Competent in the use of PC applications (Microsoft Office suit or equivalent).

Job Responsibilities and Duties

• Support the Operations Manager in the monitoring and analysis of performance data such as KPI and productivity reports, as well as financial data such as billing reports and account P&L.
• Prepare the warehouse operational report and ensure actual cost are kept within budget.
• Identify opportunities and implement cost-saving initiatives to reduce operational costs without compromising service level.
• Assist team member to provide creative and innovative approaches to solve different kinds of supply chain problems.
• Collaborate with different team members to fine-tune existing solutions within the warehouse or implement new software.
• Assist in determining the factors of errors in Business Central and provide solutions for rectification.
• Spearhead continuous improvement projects within the warehouse, from process gap identification to solution design and implementation, as well as operational change management.
• Work closely with large datasets to retrieve data and compile it into digestible and actionable dashboards for effective decision making.
• Proactively monitor the trends in the reports, understand the changes on the warehouse utilisation or operational environment and work together with Operations Manager to explore reasons behind and actions to drive performances accordingly.
• Prepare Jet Reports for departments if needed and assist in resolving the Jet Reports issues (Will be migrating to Power BI).
• Prepare monthly reports such as
• Stock balance reports and billing reports for 3PL & 4PL clients
• Sample report for Inter-company
• Warehouse utilisation report (Migrant to Power BI)
• Secondary assembly services billing for Inter-company
• Support Operations Manager in business development efforts through maintenance of customer satisfaction and solutioning of value creation opportunities (3PL & 4PL).
• Review 3PL, 4PL, inter-company W&D agreements and assist in preparing agreements.
• Review external warehouse agreements and assist in renewing.
• Attend to other ad-hoc duties as assigned.

Job Requirements

• Bachelor's degree from an accredited university or college in computer science.
• Work experience as a data analyst or in a related field.
• Ability to work with stakeholders to assess potential risks.
• Proficient in Microsoft Excel (including pivot tables)
• Power BI and Business Central will be a plus
• Detailed oriented and numbers driven.
• Good understanding of the value creation in supply chain with respect to the overall business objective.
• Ability to analyze existing tools and databases and provide software solution recommendations.
• High-level experience in methodologies and processes for managing large-scale databases.
• Demonstrated experience in handling large data sets and relational databases.
• Understanding of addressing and metadata standards.
• High-level written and verbal communication skills.

Responsibilities

• Publish and update job ads on careers pages
• Schedule interviews
• Maintain employee records (e.g. vacation and sick leaves)
• Prepare monthly compensation and attendance spreadsheets
• Screen resumes and job applications
• Update internal databases with new hires’ data (e.g. contact details and bank accounts)
• Distribute physical and digital training material
• Store, copy and scan company policies
• Address employees’ queries
• Prepare ad-hoc reports (e.g. on expenses)

Requirements and skills

• Work experience as an HR Clerk, HR Officer or similar junior role in HR
• Good understanding of HR operations (recruiting, onboarding, training and compensation)
• Basic knowledge of labor legislation
• Hands-on experience with MS Office; knowledge of HRMS is a plus
• Solid organizational and time-management skills
• BSc in Human Resources or relevant field

Our client is a local bank.

Location: Raffles Place

Benefits:

• Competitive salary package and benefits
• Hybrid work arrangement (depending on responsibilities)
• Learning and development opportunities

Responsibilities:

• Assist in the implementation of the HCM system.

• Work closely with stakeholders to collect and analyze business requirements for implementing support systems.

• Develop and implement thorough test plans, including test cases and scenarios, to ensure comprehensive testing coverage.

• Coordinate User Acceptance Testing (UAT) activities, collaborating closely with end-users to verify that system functionality meets their requirements.

• Collaborate with cross-functional teams to facilitate successful system implementation.

• Document system requirements, specifications, and test results for future reference and knowledge sharing.

• Provide support for other projects and day-to-day activities within the Payroll team.

Requirements:

• At least 4 - 5 years of experience in payroll operations.

• Demonstrated proficiency in supporting system implementation and testing, preferably within HR systems or a similar capacity.

• Robust analytical and problem-solving abilities enabling comprehension of intricate business requirements and their translation into system specifications.

• Track record of developing and executing comprehensive test plans, encompassing unit testing, integration testing, and UAT.

• Capable of thriving in a fast-paced environment, adept at managing multiple priorities, and consistently meeting project deadlines.

• Meticulous attention to detail coupled with adept project management skills.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

Position

The Data Framework provides a central data store for all the Front Office Orders, RFQs, Transactions and Collateral information. It also provides Market Data sourcing, Data distribution, client, instrument and referential data and is driven by an electronic Data Dictionary application : Collibra. It acts as a source of data for different regulatory reporting (MIFID 2 , SFTR , MAR etc).

Main Responsibilities

• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through scrum, Jira and Kanban, techniques.

Qualifications and Profile

• Strong Communication to bring consensus on requirement.
• Strong functional knowledge of financial product & regulatory reporting
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Experience of capital market processes, e.g. Pricing, Sales/Trader workflow, etc
• Exposure to microservcies based architecture, Kibana, Collibra is a plus
• Strong problem solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (Sql/Oracle/Sybase),TSQL
• A knowledge of FPML & XML/XSLT/XPath would be an added advantage

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

The Position

The position is within the Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Sales, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

CMI teams are mainly located in Paris, London, New-York, Hong-Kong, India and Singapore. Current position is based out of Singapore and successful candidate will be able to work in an international context with distributed engineering teams striving for highest quality of delivery.

Mission Context

Must be able to understand the functionalities and enterprise-wide data flows of Capital Marketing banking systems. Should be able to understand the criticality of business processes. Well versed in different type of testing; Functional Testing, Sanity Testing, Regression Testing, User Acceptance Testing etc.

Key Responsibilities

• Develop test cases and execute them in every Non-Regression Testing cycle.
• Create test data to perform test case execution.
• Automate the manual test cases and ensure the maintenance of test scripts.
• Run the automated test cases within UFT and BDD Selenium framework.
• Maintain the build job in Jenkins
• Defect and root cause analysis.
• Identify and implement automations to improve efficiency.
• Interact with other teams to perform Integration testing and Participation testing.
• Develop documentation for application knowledge transition.
• Interact with stakeholders, Dev and BAs.
• Create and Send daily execution reports to the clients.
• Undertake any other duties of a similar level and responsibility as may be required from time to time.
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Qualifications

• 6+ years’ experience in IT.
• Strong analytical and problem solving skills
• Must have Scripting languages – VB Script, Java, Selenium
• Must have Tools knowledge– HP ALM, Jenkins, Putty, Micro Focus UFT, BDD Cucumber
• Good to have DevOps Tools knowledge: GIT, Jenkins, Selenium, Maven,
• Must have SQL Server – Database and SQL Query knowledge
• Must have Capital Markets domain knowledge
• Able to interact with senior management in Business and Technology, as well as technical colleagues
• Knowledge and experience of agile methodologies
• Excellent presentation skills including oral and written communication skills
• Enthusiastic, motivated team player
• Industry standard certifications in ITIL and SCRUM methodologies would be beneficial

Besides having greater experience on quality assurance, as a senior analyst the candidate is expected to lead discussions with architectural teams(functional and technical), different stakeholders , investigate and provide solution to compex business issues and promote continuous improvements.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Who Are We?

At HoYoverse, we are committed to creating immersive virtual world experiences for players around the world. In addition to game products such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai: Star Rail, HoYoverse also launched the dynamic desktop software N0va Desktop, the community product HoYoLAB, and created a variety of products such as animations, comics, music, novels, and merchandise around our original creative concept.

Adhering to our mission of Tech Otakus Save the World, we have always been committed to technology research and development, exploring cutting-edge technologies, and have accumulated leading technical capabilities in cartoon rendering, artificial intelligence, cloud gaming technology, and other fields.

HoYoverse is actively engaged in globalization, with offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

What You Will Do:

• Build and enhance data analysis system for game project operations, providing daily data support for game-related activities including but not limited to game product analysis, market analysis, and sentiment analysis.
• Regularly monitor and analyze game version content, including but not limited to user value, retention, game ecosystem, event version effectiveness, and commercial analysis.
• Provide data analysis support for game market distribution, including but not limited to analyzing promotional effects, advertising monitoring, and tracking user behavior.
• Provide guidance for game design and product design by analyzing user behavior data and public opinion data through data mining and exploratory analysis.
• Responsible for building user behavior data indicators and related platforms, researching refined game operations such as user profile and behavioral analysis etc.

What We Are Looking For:

• At least 3 years' related work experience, with at least 2 years in game data analysis and a strong interest in data analysis.
• Sensitive to data, familiar with data collection and analysis methods, knowledgeable about data modeling principles and mining algorithms, and understanding of server architecture and database operations.
• Experience in the full-cycle of mobile game project data analysis and able to independently carry out research projects.
• Possess strong logical and analytical skills, and with excellent teamwork abilities.

We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

As a Cloud Data Architect in AIR Lab, you are seen by the members of your Data team to not only be a pillar of strength but a source of motivation and inspiration as well. You should be someone who enjoys designing, discussing topics around processing patterns like data quality control, streaming SQL, data sources/sinks and data synchronization; streaming-backfill, stream-to-stream joins etc. You should be someone who cares about the quality of the technical implementation and delivery as much as you care about the quality of delivery. You should be someone who enjoys working in a team of diverse people with multiple ethnic and cultural backgrounds. You should be someone who enjoys diving into the technical details of figuring out a problem and be able to communicate the solution back to the team so that the members can learn from it. You should be someone who loves learning new technologies and find innovative ways to apply newfound knowledge and be courageous to encourage fellow team members to be like YOU and enjoy participating in all aspects of engineering activities in the AIR Lab.

Responsibilities:

• Plan, maintain and improve the DataLake cybersecurity posture with regards to data governance and cybersecurity standards by working with other stakeholders (e.g., Data Assessment Office, Cybersecurity Office).
• Plan, maintain and improve the DataLake service levels for reliable data flow, health of infrastructure (i.e., computer and storage).
• Plan, maintain and improve the total-cost of ownership of the DataLake; this activity includes raising efficiencies around FinOps, CloudOps.
• Maintain and improve the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch)
• Lead the evolution of the DataLake by conducting the following activities (non-exhaustively) exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).
• Plan, maintain the data model, data catalogue (e.g., event data, batched data, persisted, ephemeral).
• Mentor and coach the data team.
• To implement features by defining test, develop feature and associated automated tests. If appropriate, implement security tests and load tests.
• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Master’s degree in Computer Science or Data Science, if applicable

Essential Skills/Experience

• Proficiency in designing, implementing ETL data pipelines (with structured or unstructured data) using the frameworks like Apache Dataflow / Apache Beam, Apache Flink; proficient in deploying ETL pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.
• Proficiency in designing, implementing data lifecycle management using scalable object-storage systems like MinIO (e.g., tiering, object expiration, multi-nodal approach)
• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)
• Proficiency in distributed source code management tools like GitLab, Github
• With respects to ETL pipelines, you are expected to demonstrate proficiency in the following.
  • pipeline configuration using Gitlab
  • environment management using Gitlab; it’s a bonus if you have demonstrated experience in deployment management (e.g., canary, blue/green rollouts) using Gitlab
• Familiar with cloud deployment strategies to public clouds (e.g., Azure Cloud, AWS, GCP) and Kubernetes using virtualized and containerized workloads (e.g., Kaniko, Docker, Virtual Machine)
• Good communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.
• Working knowledge of other languages (e.g., Python, Scala, Go, TypeScript, C, C++, Java)
• Implement event-driven processing pipelines using frameworks like Apache Kafka, Apache Samza
• Familiar with the cloud deployment models (e.g., public, private, community and hybrid)
• Familiar with the main cloud service models: Software as a Service, Platform as a Service and Infrastructure as a Service.
• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity
• Comfortable with agile teamwork and user engagement

As a Data Engineer in AIR Lab, you should be someone who enjoys designing, discussing topics around processing patterns like data quality control, streaming SQL, data sources/sinks and data synchronization; streaming-backfill, stream-to-stream joins etc. You should be someone who cares about the quality of the technical implementation and delivery as much as you care about the quality of delivery. You should be someone who enjoys working in a team of diverse people with multiple ethnic and cultural backgrounds. You should be someone who enjoys diving into the technical details of figuring out a problem and be able to communicate the solution back to the team so that the members can learn from it. You should be someone who loves learning new technologies and find innovative ways to apply newfound knowledge and be courageous to encourage fellow team members to be like YOU and enjoy participating in all aspects of engineering activities in the AIR Lab.

Responsibilities:

• Improve and maintain the DataLake cybersecurity posture with regards to data governance and cybersecurity standards by working with other stakeholders (e.g., Data Architect, Data Assessment Office, Cybersecurity Office).
• Improve and maintain the DataLake service levels for reliable data flow, health of infrastructure (i.e., compute and storage).
• Improve and maintain the total-cost of ownership of the DataLake; this activity includes raising efficiencies around FinOps, CloudOps.
• Improve and maintain the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch)
• Lead the technical evolution of the DataLake by conducting the following activities (non-exhaustively) exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).
• Improve and maintain the data model, data catalogue (e.g., event data, batched data, persisted, ephemeral).
• Work with the Data Architect to effect best practices to the engineering organization.
• To implement features by defining test, develop feature and associated automated tests. If appropriate, implement security tests and load tests.
• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Master’s degree in Computer Science or Data Science, if applicable

Essential Skills/Experience

• Proficiency in designing, implementing ETL data pipelines (with structured or unstructured data) using the frameworks like Apache Dataflow/Apache Beam, Apache Flink; proficient in deploying ETL pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.
• Proficiency in designing, implementing data lifecycle management using scalable object-storage systems like MinIO (e.g., tiering, object expiration, multi-nodal approach)
• Proficiency in programming languages in Java, Kotlin with a focus around design and development for scalable applications with microservices and monolith approaches.
• Proficiency in developing performant abstract data structures (e.g., deterministic data lookups versus heuristic data lookups); able to conduct independent research of methods, techniques and algorithms.
• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)
• Proficiency in distributed source code management tools like GitLab, Github and practice GitOps
• With respects to ETL pipelines, you are expected to demonstrate proficiency in the following.

1. pipeline configuration using Gitlab
2. environment management using Gitlab; it’s a bonus if you have demonstrated experience in deployment management (e.g., canary, blue/green rollouts) using Gitlab

• Familiar with cloud deployment strategies to public clouds (e.g., Azure Cloud, AWS, GCP) and Kubernetes using virtualized and containerized workloads (e.g., Kaniko, Docker, Virtual Machine)
• Good communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.
• Working knowledge of other languages (e.g., Python3, Scala2 or Scala3, Go, TypeScript, C, C++17, Java17)
• Implement event-driven processing pipelines using frameworks like Apache Kafka, Apache Samza
• Familiar with the cloud deployment models (e.g., public, private, community and hybrid)
• Familiar with the main cloud service models: Software as a Service, Platform as a Service and Infrastructure as a Service.
• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity
• Comfortable with agile teamwork and user engagement

What will you be doing?

Your responsibilities will include:

• Analyze the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

OK, I’m interested… is this the job for me?

We look for people who value agility, passion and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers. Bring your aptitude and build upon what you do best for our customers, partners, team, and you.

Other qualities that you’ll need to be a fit for this role include:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

Responsibilities

• Engage clients to identify requirements relating to cyber security solutions for Data Protection
• Proposal, scope and size technical solutions for clients
• Deploy competency’s related projects and provide consultation to clients with regard to the deployment as a Subject Matter Expert (SME)
• Create technical documentation for the solution deployment
• Empower clients through technical enablement
• Provide post-sales support services for corrective and preventive maintenance when necessary

Requirements

• Good Diploma or Bachelor’s Degree in Information Technology
• At least 5 to 8 years of IT security experience
• Experience in leveraging and expanding the capabilities of existing analytical tools and technologies; recommend new technologies as appropriate
• Experience with web security, email security and Cloud Access Security Broker (CASB) and will be preferred
• Positive working attitude
• Good communication and written skills
• Passionate in information security
• Experience in programming and scripting is preferred

We are seeking a Project Assistant to join our team!

Location: Pasir Panjang, Singapore

Team: Part of a team of 7 within a larger workforce of 500.

Key Responsibilities:

Support project activities with flexibility in work scope.

Source quotations and conduct research on new topics.

Manage day-to-day operations.

Qualifications:

• Ability to adapt to a fast-paced environment.
• Street smart; educational background is not a priority for this role.
• Enjoys working with people.
• Interest in playing multiple roles and working in a dynamic environment.
• Willingness to work beyond contractual hours (compensatory time off will be provided).

If you are looking for an interesting role and are tired of administrative desk-bound positions, this job is for you!

Reach us at 80353296 / [email protected]

Responsibilities

• Engage clients to identify requirements relating to cyber security solutions for Data Protection
• Proposal, scope and size technical solutions for clients
• Deploy competency’s related projects and provide consultation to clients with regard to the deployment as a Subject Matter Expert (SME)
• Create technical documentation for the solution deployment
• Empower clients through technical enablement
• Provide post-sales support services for corrective and preventive maintenance when necessary

Requirements

• Good Diploma or Bachelor’s Degree in Information Technology
• At least 1 to 4 years of IT security experience
• Experience in leveraging and expanding the capabilities of existing analytical tools and technologies; recommend new technologies as appropriate
• Experience with web security, email security and Cloud Access Security Broker (CASB) and will be preferred
• Positive working attitude
• Good communication and written skills
• Passionate in information security
• Experience in programming and scripting is preferred

Job Title

Order Entry and Logistics Coordinator

Summary:

Candidate will be responsible for the triage and processing of Service Orders. These Service Orders are related to the coordination of new equipment installations for commercial vessels that have global sailing patterns.

The ideal candidate may have experience working for a Fleet Manager or a Maritime hardware supplier coordinating projects/services on vessels. Or comparable work experience in Field Service Operations for land-based telecommunications.

Essential Duties and Responsibilities:

Include but are not limited to the following:

• Triage and process Service Orders for KVH managed installations (Asia Pacific Region)
• Service Order entry into Baan ERP system
• Coordinate logistics requirements with Asia Pac Sales managers, customers or consignee, via phone and email, to ensure proper delivery of product
• Verify shipping and consignee/forwarding agent information
• Coordination with vessel sailing schedules
• Determination of proper shipping method
• Freight quotes with proper of Incoterms
• Provide needed shipping documentation for country specific Customs clearance
• Liaise with KVH functional groups as needed
• Sales Department – receiving, checking and processing new orders
• Finance Department – unblock orders and receive proper pre-payment from customer as necessary
• Shipping Department – ensure proper delivery terms and deadlines are communicated
• Coordinate service operations including scheduling and distribution of work for technicians, utilizing Salesforce to generate and manage work orders.
• Responsible for updating Salesforce with customer and vessel information
• Enter RMA orders (Return Materials Authorization) and follow up on returns related to Decommissioned units.

Qualifications/ Prerequisites:

• Minimum high school diploma or GCE “A” Level or equivalent required; Diploma.
• Fresh Graduates are welcome
• Demonstration of attention to detail and accuracy to ensure quality of subsequent processes
• Prior experience with international logistics company
• Prior experience working in a CRM system for case management is an added benefit (Salesforce)
• Prior experience working with an ERP system for inventory management is an added benefit (Baan)
• Ability to Problem solve, working independently and as part of a team
• Attention to detail and accuracy is a must
• Good command and knowledge of English with effective communication skills, responsible, reliable and an independent worker.

Salary commensurate with qualification and work experience

PRODUCT AREA

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.

Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.

Qualifications

JOB RESPONSIBILITIES

• Manage data center operations, communicate priorities, and facilitate sharing operations with following shift leads.
• Work together to identify and resolve problems, and create solutions for global computing and network architecture.
• Hire, coach, and develop a team while achieving strategic business goals, and manage the implementation of projects within the team.
• Ensure data center-related priorities are consistent with company objectives.
• Implement and drive the safety culture at the site, while building a diverse and collaborative team environment.

MINIMUM QUALIFICATIONS

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in computing infrastructure, networking, operating systems, or hardware.
• 2 years of experience managing technical teams, vendors, or contract management and delivery.

PREFERRED QUALIFICATIONS

• Experience with initiating and executing strategic initiatives in a global environment.
• Experience leading and improving Environmental Health and Safety initiatives.
• Experience working in data center environments, building and operating large-scale infrastructure, network, compute architecture, lifecycle, and Linux/Unix system administration.
• Ability to implement and drive the safety culture, while building an inclusive and collaborative team environment.
• Excellent problem-solving skills.