The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

About the job

• Take lead and manage the cabling and rack design for our investment bank client's data center portfolio in Hong Kong. Work closely with global infrastructure cabling engineering team on the detailed design.
• Coordinate with Technology teams (e.g. Telco, Unix teams, etc) on cabling requirements.
• Prepare technical tender drawings and specification, work along with our client's procurement team to issue RFP. Conduct tender interview, issue tender queries and provide recommendation report on selecting cabling vendors.
• Project manage the cabling vendor, review shop drawings, procurement, delivery logistics, schedule installation works and program, and witness commissioning testing and handover
• Project close out of cabling O&M manuals and as-built drawings

Products familiarization

• Ideally Panduit product sets
• Rack/cabinets, patching frames
• Industry best practices, including familiarization with ISO based testing regimes
• Experience in Cisco and Arista equipment is a plus
• Experience with cassette and LC Hydra based MPO/MTP structural cabling technology is a plus

Skills Required

• Language:
  • English (fluent English speaking and writing)
  • Cantonese/Mandarin is a plus
• Good communication skills, take responsible and being proactive person

Skills Desired

• Data center related work experience, financial company background is a plus
• Good understanding of existing live data center environment and constraints
• Relevant international cabling certifications (e.g. RCDD)
• Project Management is a plus (such as PMP)
• Able to deliver and work under pressure

Perks and Benefits

• Permanent Offer
• No shift
• Competitive salary and medical/dental benefits
• 20 days annual leave per year

What will you do?

Join us as a Data Engineer, where you’ll harness vast datasets to drive health innovation forward. Your role will centre on crafting resilient data infrastructures, mastering SQL and big data technologies, and turning complex business challenges into actionable data insights. We’re looking for a collaborative problem solver with a blend of technical prowess in Python or Java, deep understanding of distributed computing, and a genuine eagerness to impact the healthcare industry.

Your key responsibilities include:

• Support the management of data effectively to achieve project goals and enhance engagement with all stakeholders.
• Develop and implement a robust health data system for use in medical contexts, optimizing the functionality of health products with advanced big data infrastructure.
• Engage in the establishment and upkeep of data warehouses. Catalog and strategize data resources based on operational needs, creating a comprehensive data asset framework to assure quality and security, and facilitate the seamless exchange and use of data.
• Construct and maintain a reliable data pipeline. Oversee the integrity and governance of both offline and real-time data throughout processing stages.
• Collaborate in the research and creation of data-driven products and applications, building a repository of data strategies and methodologies. Work alongside teams from operations, product development, and medical education to unlock the potential of data in driving business objectives.
• Mentor and provide professional development for junior and intermediate data R&D engineers by conducting training sessions, performing code reviews, and employing other methods to enhance the team's overall skill set.

What skills do you need?

Human Skills:

• Demonstrates clear thinking, logical reasoning, and strong problem-solving skills.
• Possesses excellent communication and presentation abilities.
• Exhibits a keen understanding of business processes and the ability to grasp complex business issues.
• Shows enthusiasm for tackling challenges and an aptitude for learning.

Base Technical Skills:

• Experienced in the architecture, modelling, and ETL (Extract, Transform, Load) design and development of data warehouses.
• Proficient in SQL coding and performance optimization.
• Skilled in at least one programming language, such as Python or Java.
• Knowledgeable about distributed computing frameworks, including but not limited to Hadoop, Hive, Flink, Spark, Hudi, Kafka, and Elasticsearch.
• Competent in handling large-scale data processing and real-time data computation.
• Acquainted with big data analysis engines like Kylin, Clickhouse, and Presto.
• Familiar with the implementation or data integration of international mainstream electronic medical record systems.

Qualifications:

• Holds a degree in Computer Science, Mathematics, Statistics, or a related field.
• More than 3 years of professional experience in big data, previous experience in health tech or healthcare industry is a plus.
• Well-versed in medical data standards and models, such as FHIR and OMOP.

• Monday to Friday; office hours
• Accessible location; Walkable distance from MRT Station in the central location
• Attractive remuneration package and benefits

Our client, our established government-linked agency in the healthcare sector, is seeking for suitable candidates to join the growing team!

Job Responsibilities:

• Support management in the handling of data sharing request based on company’s Data Sharing Framework
• Manage and ensure continued relevance and application of the company’s policy across division’s processes
• Manage and review data protection compliance related aspects
• Ensure compliance of Data Protection by organization’s partners; Engage and develop suitable data sharing agreements with partners, doing process reviews etc
• Support and manage internal and external stakeholders towards continued improvements for an enhanced governance process in managing classified information and data
• Develop and execute standardise approach for data governance compliance
• Conduct reviews and periodic audits to ensure continued adherence with Data Protection approaches
• Other relevant duties as required

Job Requirements:

• Minimum Degree in Information Science/ Business Management or equivalent
• Minimum 5 years of relevant experiences in handling information management and governance aspects
• Knowledge of Data Protection Act is highly advantageous
• Strong analytical skills; Candidates with strong process thinking skills and workflow approach is preferred
• Good interpersonal and communication skills

Interested and suitable candidates, please email your CV in MS Word to

[email protected]

Ammerline Lam Sze Yi

Division Manager

CEI Reg. No.: R1104463

Personal Data Protection

“By submitting your curriculum vitae or disclosing your personal information in connection with your job application, you are deemed to have read and agreed to the terms of our Privacy Policy, and consented to the collection, use and disclosure of your personal data by us, in accordance with our Privacy Policy. Please access our website at www.celecti.com.sg for a copy of our Privacy Policy.”

Job Description

Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices.

§ Assess current data management processes and provide solutions around the enhancement of data governance maturity

§ Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team.

§ Must have experience in creating data governance policies on different areas of DG

§ Drive the awareness and establishment of data related improvement initiatives across the team.

§ Ability to manage senior management relationships across all the business and functional areas.

§ Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward

§ Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.

§ Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Data Privacy, Metadata Management.

§ Must have strong written and oral communication skills

§ Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles & Responsibilities, Data-Quality framework, Metadata management, Data modelling, data naming standards etc.

§ Good to have experience on DG tools and affinity with Data Lake (Synapse, Databricks etc.)

Job Description

· Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices.

§ Assess current data management processes and provide solutions around the enhancement of data governance maturity

§ Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team.

§ Must have experience in creating data governance policies on different areas of DG

§ Drive the awareness and establishment of data related improvement initiatives across the team.

§ Ability to manage senior management relationships across all the business and functional areas.

§ Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward

§ Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.

§ Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Data Privacy, Metadata Management.

§ Must have strong written and oral communication skills

Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles.

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you that only shortlisted candidates will be notified)

Role:Sr Data Governance Consultant

JD:

• Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices
• Assess current data management processes and provide solutions around the enhancement of data governance maturity
• Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team
• Must have experience in creating data governance policies on different areas of DG
• Drive the awareness and establishment of data related improvement initiatives across the team
• Ability to manage senior management relationships across all the business and functional areas.
• Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward
• Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.
• Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality,Data Privacy, Metadata Management.
• Must have strong written and oral communication skills
• Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles & Responsibilities, Data-Quality framework, Metadata management, Data modelling, data naming standards etc.
• Good to have experience on DG tools and affinity with Data Lake (Synapse, Databricks etc.)

• Consulting with management and software developers to determine software solution requirements.
• Evaluating software solutions and system performance, as well as supervising the software development team.
• Demonstrating patience and using effective explanations when mentoring junior software developers.
• Managing the development, deployment, and integration of software solutions.
• Determining system specifications and analyzing test stage data prior to software installation.
• Managing the installation and configuration of software solutions.
• Collaborating with front end users on software functionality.
• Resolving software deployment and integration errors, and documenting processes.
• Performing routine maintenance and monitoring performance metrics.
• Keeping abreast of new software technologies, as well as conforming to best practices in cybersecurity.

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team. Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service. We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Minimally 8 years of Data Engineering experience
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

• Requirement:
• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic) .NET Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL
• Good grasp on security fundamentals/PKI
• Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue

Scope of work:

• Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements
• Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade

As a Mid-Level Business Analyst, you will be responsible for analyzing business requirements, designing and implementing Workday data mapping and conversion solutions. You will work closely with the project team to ensure successful delivery of the project.

• Serve as the primary knowledge source for converting data from legacy systems and spreadsheets into the Workday Cloud HCM
• Converting Data into Workday using Workday provided loading tools
• Lead in the validation of data loaded into Workday
• Responsible for assisting clients in mapping legacy data, identifying data quality issues and overall responsibility over conversion activates on the project
• Responsible for key communication to project and client leadership
• Collaborate with project team to ensure successful delivery of the project
• Conduct rigorous testing and troubleshooting to optimize the performance of Workday data mapping and conversion solutions.

• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic)

• .NET Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL Good grasp on security fundamentals/PKI .

• Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue Scope of work: Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements.

• Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade.

Data analyst with finance background ( financial markets ) , dashboarding , Gen AI

Must have : Skills: python, machine learning, SQL, Tableau, Power BI, Generative AI (GenAI), NLP, Computer Vision, hypothesis testing, communication, visualization, financial markets, transformer, deep-learning.

Responsibilities

1. Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals, product recommendation and customer hyper-personalization.

2. Create appropriate data visualisations, utilising PowerBI, Tableau and other appropriate tools like Python for effective storytelling.

3. Utilize advanced statistical and machine learning methods to derive insights and predictions from large volumes of transactional, operational and customer data.

4. Translate complex findings into intuitive visualizations and recommendations for front office traders and senior management.

5. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.

6. Participate in Generative AI (GenAI) and Document AI (DocAI) initiatives for news recommendation, customer pitch generation and market data collation.

7. Perform hypothesis testing and experimentation to discover causal drivers for customer and market behaviours.

Required Experience

1. Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.

2. Working knowledge in data visualization tools such as PowerBI, Tableau or equivalent

3. Expert working knowledge and hands-on experience using Python and SQL.

4. Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs

5. Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.

6. Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.

7. Experience working with unstructured data (text, images, audio) and application of NLP/ Computer Vision techniques and deep-learning and transformer models.

Job Description & Requirements

We are looking for 3 pax part timers for the month of Ramadhan.

Job Function

• Data entry
• Basic filing

Requirement

• Familiar with MS Office applications
• Able to commit for 3 months

Work Schedule

Monday to Friday - 9am to 6pm

$10/hr

Location

PERTAPIS Head Office - Blk 1 Joo Chiat Rd, #04-1001, Singapore 420001

**Candidate should be able to start immediately.

**Only shortlisted candidates will be notified.

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you that only shortlisted candidates will be notified)

(Hiring for new branch located at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Mon.- Fri. Office working hours
• Salary Range: Basic salary $2,600 ~ $3,500 + Incentive/Commission + Creative Performance Bonus)

Responsibilities

• Responsible for developing long term customer relationship and maximizing customer retention;
• Support on pre-sale and post-sale, not limited to solution proposal on technical requirement, design & budget control, timeline management, etc. based on projects;
• Participate in industrial related exhibitions, marketing campaigns/events;
• Other ad-hoc duties assigned by the superior.

Qualifications

• Min. Higher Nitec in Engineering (any field), or equivalent;
• Entry level applicants with the right learning attitude and positive minder are welcome to apply as comprehensive On-Job-Training will be provided;
• Excellent written and oral communication skills
• Pro-active, possess technical and Negotiation/social problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work.

(We regret to inform that only shortlisted candidates will be notified)

Responsibilities:

1. Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals, product recommendation and customer hyper-personalization.

2. Conduct literature review and evaluate trade-offs between different quantitative algorithms and AI/ML models.

3. Utilize advanced statistical and machine learning methods to derive insights and generate predictions from large volumes of transactional, operational and customer data.

4. Implement and train AI/ ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)

5. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.

6. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Required Experience;

1. Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.

2. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.

3. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.

4. Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs

5. Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.

6. Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.

Good to Have (At least 2 or more)

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.

2. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.

3. Experience using open-source computer vision and Document AI models and concepts (Table recognition, handwriting recognition, key information extraction, signature detection, image understanding)

4. Solid understanding of deep-learning model architectures and experience building custom architectures.

5. Experience building data models, writing complex queries and using business intelligence/ visualization tools (Tableau)

6. Understanding of the MLOps ecosystem and experience building systems to maintain the complete model lifecycle.

7. Expert knowledge in time series analysis, statistical signal processing and related modelling techniques.

8. Deep understanding of pricing, modelling, booking, and risk across diverse products and markets.

As a Data Analyst (Risk), you will be involved in supporting the risk operations by conducting data analysis of risk cases to discover risk trends and behavior patterns from big data sets, thereafter being involved in designing long-term solutions to fight fraud. The insights you provide will be optimizing risk strategies to create business value and enable trust for our clients.

• Analysis of rich user and transaction data to uncover device, user, transaction, etc. trends that help alert SHIELD's risk systems and contribute to fraud prevention mechanisms
• Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis and developing strategic fraud rules to address them
• Perform data/statistical analysis to keep processes at the forefront of fraud detection by identifying areas of potential fraud risk and/or potential opportunities to improve current fraud mechanisms
• Develop and communicate insights and recommended actions to stakeholders to manage risk by contributing toward machine learning models, and risk management principles to help clients trust their users by staying ahead of new and unknown fraud
• Build and maintain dashboards for all stakeholders to provide visibility of key metrics, fraud patterns, and detection efficiency

• 3-5 years of experience as a hands-on analyst in a high-tech company
• Minimum Bachelor Degree in Computer Science, Data Sciences, Statistics, Math, or other related fields
• Strong experience in handling large-scale unstructured data
• Experience in SQL or other data handling tools, as well as the ability to learn more advanced data
• Business intelligence experience using tools such as Tableau, Qlik Sense, and Excel
• Working experience with any of the data analysis tools such as R, Python, SPSS, SAS, etc.
• Experience with the application of experimentation and statistical techniques (i.e. hypothesis testing, probability distributions, regression, decision trees, etc.)
• Ability to take initiative in a fast-moving and dynamic environment, and take timely actions to prevent risk of fraud

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.

Qualifications

• Preferably with minimum 3 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

Job Description

· •Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· •Development and implementation experience of applications for 4-6 years.

· •4 to 6 years' experience designing and developing in Python.

· •4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Job Description

· •Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· •Development and implementation experience of applications for 4-6 years.

· •4 to 6 years' experience designing and developing in Python.

· •4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Job Description

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing,concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning,estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

At Jacobs, we push the limits of what’s possible to make the world smarter, more connected and more sustainable. In our built environment work, that means designing spaces that foster innovation, cultivate collaboration and drive the next great discovery for humanity.

Bring your creativity, collaborative spirit and extreme attention to detail, and we’ll help you grow, pursue and fulfill what drives you – so we can deliver extraordinary solutions for a better tomorrow, together.

We would like to welcome a Senior/Lead Design Engineer to be part of our Data Center Business, based in our Singapore office. Main duties:

• Manage all technical aspects of designs for assigned projects, and implement, where appropriate, the latest (or as governed by contract) International and National Standards, Codes of Practice, software and requirements of ‘good engineering practice' for all work performed.
• Responsible for the execution of assigned work; meeting the Company's contractual obligations and the Client's needs and expectations, on time, and within budget.
• Ensure direct, effective, and timely communications of project requirements, routine reporting and sharing important information to Management, Heads of Department, the Project Manager, and all supervised staff, conducting routine and working meetings as appropriate. Follow up to ensure a clear understanding.
• Develop Project Execution Plan (PEP) using input from all discipline lead engineers. Revision, modification, and issuance of procedures related to the projects based on contracts.
• Adhere to the Company Quality Management System, HSE requirements, policies and procedures.
• Ensure adherence to Scope of Work and Design Basis Memorandum; identify variations in a timely manner, whether initiated by the Client or internally.
• Participate in meetings with the Project Manager, Client and third parties, to communicate specifications, construction scope of work, calculations, data sheets, material requisitions, etc.
• Participate in quality audits in cooperation with the QA/ QC Representative.
• Provide input, cost, technical considerations and capabilities in tender or contract to project manager or manager of projects.
• Perform the squad check of documents and drawings of other disciplines, reviewing all the interfaces to be coordinated, as required per contract and project requirements.
• Involvement during Tender Management & preparation of Bids, when needed.

To be a successful candidate, you shall possess a minimum Degree in Engineering, with a minimum of 5-6 years of relevant experience in Data Center projects. Singapore's local project experience is crucial.

Jacobs. A world where you can.

From our inclusive employee networks, to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.

With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximise your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.

Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Jacobs.Jacobs complies with the Tripartite Guidelines on Fair Employment Practices (TGFEP), including the prevailing guidelines on recruitment. All qualified applicants will be considered for the position regardless of age, race, religion, language, nationality, marital status, or family responsibilities.

#ASIAID

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you that only shortlisted candidates will be notified)