Key Responsibilities

• Provide technical assistance, and day-to-day operational support for existing operations.
• Coordinate, assist, and escort personnel for network cabling work with our appointed vendors.
• Ensure network cables are installed and labelled according to standards.
• Update and verify DC IT asset information in CMDB and DCIM.
• Quarterly review & replacement of DC visitor logbook.
• Enforcement of DC policy and change management process.

What you need

• At least a Diploma in computer science, IT or Engineering.
• At least 2 years of relevant work experience in enterprise DC operation and management.
• Experience in maintaining asset information in ServiceNow CMDB is desirable.

If you fulfil these requirements and would like more information or a confidential discussion about this role, please contact me directly on the details below.

If this position is not suitable for you but you know someone who would be, I would really appreciate if you could refer them over so we can have a chat.

EA Reg Number: R1660446

EA License Number: 07C3924

Company Registration No: 200609504D

The Opportunity

• Adecco is partnering our client, a famous Tech MNC
• We are looking for a Data Analyst
• The role will start out as a contract
• Candidates who are immediately available/ able to start work within short notice will be preferred

The Talent

• 2+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data Science
• Fluent with SQL, Python, R or other scripting/programming languages to problem-solve.
• Experienced with working with very large datasets
• Strong data visualization and storytelling skills.
• Experience in creating dashboards using PowerBI, Tableau or other visualisation tools

Job Description

• Generate data-driven hypotheses to solve key Product/Business problems
• Use data to identify trends, spot anomalies and deepdive into their root causes
• Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
• Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
• Send your resume to [email protected]
• All shortlisted candidates will be contacted

Liu XinYang



EA Licence Number: 91C2918



Personnel Registration Number: R1988872

Datawarehouse Support Engineer (EDW)

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for data marts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.

Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes - At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

Must-Have Primary Skill: Data and Intelligence-Data Management-ETL Data Integration

Primary Skill: Yrs Experience Skilled (3 to 5 Years Experience)

Location: Singapore

Job Description:

· Perform administrative support in the office

· Preparing of tax invoices, delivery orders and other documentation work

· Planning and arrangement for logistics movement

· Control of inventory and stock taking

· Other duties as assigned

Requirements:

· Possess at least A Levels or Diploma in any field

· Able to commit for at least 3 months

· Able to commence work immediately or in short notice

· No experience needed, full training will be provided.

· Keen interest in the healthcare/ medical industry

Interested candidates please send a copy of your resume to [email protected]

Email Subject: Admin Assistant

Leon Leong De Cong
R1551708

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

The Opportunity

• Adecco is partnering our client, a famous Tech MNC
• We are looking for a Data Analyst
• The role will start out as a contract
• Candidates who are immediately available/ able to start work within short notice will be preferred

The Talent

• 2+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data Science
• Fluent with SQL, Python, R or other scripting/programming languages to problem-solve.
• Experienced with working with very large datasets
• Strong data visualization and storytelling skills.
• Experience in creating dashboards using PowerBI, Tableau or other visualisation tools

Job Description

• Generate data-driven hypotheses to solve key Product/Business problems
• Use data to identify trends, spot anomalies and deepdive into their root causes
• Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
• Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
• Send your resume to [email protected]
• All shortlisted candidates will be contacted

Liu XinYang



EA Licence Number: 91C2918



Personnel Registration Number: R1988872

Contract: 1 year
Location: Tuas (bus pickup at JE)
Working Hours: Mon-Fri office hour
Pay: $2200 - 2600

Job scope
• Accurately and efficiently encode all data that needs organizing and recording
• Confirm that entered data accurately aligns with original documentation
• Organize and maintain original paper evidence
• Assure files are properly prepared and saved to backup drives
• Transcribe, scan or photocopy hard copy documents and forms as needed
• Self-audit your work checking for errors or duplication
• Organize files in a logical and manageable fashion
• Adhere to and meet set schedules and deadlines
• Input, track, and maintain all encoded data and records
• Report any major errors or inconsistencies to upper management
• Maintain report logs of in-progress and/or completed work
• Perform any other office tasks that management requires assistance with (sending emails, answering phones, etc.)

Job requirement
• Min. Dip in Science
• Comfortable to travel to West
• Able to commit 1 year
• Proficient in Microsoft Excel

If interested, please email me at [email protected]
➖
Alex Goh Hock Leong
(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

Job Description & Requirements

Facility engineer for Data Centre facility (12 hours shift)

Defu industrial area

Manage and service large scale data centre infrastructure and facilities to ensure 24x7 operations in rotating shifts

Job Description

• Support the organisation's data centre services through active 24x7 monitoring of the infrastructure (12 hours shift)

• Act as Level 1 escalation point for all onsite operational incidents, respond & perform remote requests within SLA

• Document and update accurately all requests on the internal Web Portal ticketing system such as user requests, incidents, provisioning, etc

• Deliver ITIL compliance process conformance for incident, problem and change management

• Ensure effective implementation of safety, security and customer support policy and procedures

• Coordinate and provide support to contractors and vendors as well as inspecting completed work

• Plan and support all preventive and reactive maintenance activities with little to no disruption to company's services

• Participate and support internal and external audits for internal stakeholders and customers

• Generate accurate and regular reports when required

• Any other duties or project as assigned by the Management

Requirements

• Fresh Graduate are welcome!

• ITE Certificate or Diploma in Computing/Electrical/Mechanical Engineering or related field

• At least 1 year of relevant work experience in 24x7 DC or facility operations environment, or fresh graduate with relevant qualifications such as building services, mechanical engineering

• Possess general knowledge of M&E and Network Critical Infrastructure

• Broad knowledge in DC facilities related systems such as PDUs, UPS, DC Rectifier, DRUPs, CRAUs, DX cooling, fire protections, etc

• Meticulous team player with the ability to work under pressure in a fast-pace environment

• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary

Responsibilities:

· Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.

· Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.

· Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.

· Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.

· Implement data governance in line with company standards.

· Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.

· Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).

· Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

· Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.

· Extensive experience designing data solutions including data modelling is required.

· Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.

· Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.

· Experience working with both real-time and batch data is important.

· Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.

· Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.

Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have:

· Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.

· Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.

· Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

Responsibilities:

• Overseeing data projects, operations and initiatives regionally in both Commercial and Medical areas
• Overseeing analytics operations in the region in alignment with global data operations/engineering teams
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Oversee region data security and compliance
• Manage relationships with Technology heads from each countries, including business and commercial teams and global support teams

Requirements:

• Bachelor Computer Science / Computer Engineering, or equivalent experience.
• At least 10 years of established experience in a relevant technology role, especially in data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24078

To apply, please visit www.gmprecruit.com and search for Job Reference: 24058

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Job Summary:

We are seeking for a self-motivated Data Analyst with data management and testing experience within the banking and financial industry.

Mandatory Skill-set:

• Degree in Business Computing, Computer Science, or equivalent;
• 3-5 years of experience in data/business analysis and testing in banking industry;
• Proficient in SQL and Microsoft Office;
• Experience in liaising with IT and users;
• Maintain strong analytical, problem-solving, and communicating skills;
• Develop and perform SIT/UAT test cases for data quality rules;
• Self-motivated, resourceful, and possess exquisite time management skills.

Desired Skill-set:

• Knowledge in Data Warehousing, BI tools, Big Data platforms;
• Familiar with Metadata tools.

Responsibilities:

• Gathering and documenting business requirements & functional specifications on data related initiatives;
• Perform data investigation and data analysis to support Bank wide users' queries on EDAG;
• Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation;
• Provide end-to-end project delivery support, including requirements walkthrough, user acceptance testing;
• Execute data analysis and data investigation;
• Conduct end-to-end User Acceptance Test (UAT) process;
• Manage business glossary and dashboards for review and analytical purposes;
• Assist the entire project implementations.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Project Description:Luxoft looking for an experienced and motivated Data Engineers who will be based in Singapore office. The role will work closely with the account management, the services team and collaborate with the product teams.
He / she will join a team of experienced consultants and participate in the implementation and support of the application, the installation of new modules and features, and oversee the installation, configuration and, workflow definition and optimization using NeoXam cutting edge data management platform, DataHub.

Responsibilities:

• Accountable for high-impacting and challenging implementation projects, and acquire a global vision of the business processes at the world's top financial firms
• Provide best practice guidance to clients by leveraging technical expertise, NeoXam DataHub software knowledge and industry experience
• Design, configure, implement of NeoXam's DataHub software solutions based on client requirements
▪ Manage the overall design and configuration activity by ensuring the team follows configuration /
scripting / design guidelines.
• Identify and resolve any installation and implementation problems to the client's satisfaction within
established time frames
• Analyze the clients' needs, accompany and coach their teams and/or take charge of the product
implementation, meet clients' requests, manage the client relation and coordination of the project.
• Provide project management leadership under the responsibility of the Account Manager or Project
Director
• Develop and conduct product training workshops for clients
• Provide presales consultancy by assisting the sales teams with presentations, Proof of Concept,
implementation expertise, etc.

Mandatory Skills Description:

• Engineering or Business school, Master's degree or equivalent
• Up to 7-8 years of experience in data engineering / data modelling space
• Banking / Capital Markets domain experience is mandatory
• Hands-on coding experience in scripting language like Shell, Bash, Python, VB , Java Script. Candidate should be able to adapt to new programming language(s).
• Previous project experience with involvement in multiple stages of the project life cycle
• Independent, with own initiative and good interpersonal skills and are concerned about the quality of service provided
• Proactive and a real team player
• Excellent communication skills (verbal and written)

Nice-to-Have Skills:

• Experience with RDBMS, Data Modeling, and SQL language
• Understanding of Enterprise Data Management and ETL techniques and processes
• Previous experience of financial data provider feeds such as Bloomberg, Refinitiv, ICE and others
• Knowledge of financial instruments such as Equities, Fixed Income and Derivatives

Position: Human Rsource Data Analyst

Location: Raffles

Salary: Up to $5400

Job Description:

1. Analytics Business Partnering:

• Build strong stakeholder relationships to identify data opportunities and deliver reports, dashboards, and analytics.
• Develop and refine HR analytics strategies to address business challenges through advanced analysis.
• Present data insights to drive informed business decisions and lead HR data projects for organizational improvement.

2. Advanced Analytics & Research:

• Create data models for predictive analytics to support HR initiatives and solve business problems.
• Establish systematic analysis methods combining market research, data, and theory for impactful HR insights.

Job Requirements:

• Experience in HR analytics, business analytics, or organizational research.
• Proficient in data analysis, data modeling, and data visualization tools like SQL, Tableau, Python, etc.
• Strong communication skills and ability to collaborate with HR and business stakeholders.
• Excellent analytical and problem-solving abilities to derive insights and make data-driven decisions.

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

The Data Engineer, Microsoft BI Developer & Administrator, is a member of the Data Analytics Technology team. This role will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Finance & Risk Analytics domain.

Key responsibilities for this role are:

• Lead Server Administration activities for SSAS (SQL Server Analysis Services) & SSRS (SQL Server Reporting Services) for On-Premise implementation
• Build PowerShell scripts required for processing data in SSAS & SSRS reports
• Analyse and trouble-shoot SSAS, SSRS, Excel Add In and In-Memory related production issues by collaborating with other technical, vendor and business teams; Drive performance tuning
• Resolve connectivity issues of MBI solution with underlying Teradata / Hadoop based Data Marts & Enterprise Data Warehouse
• Handle and maintain BAU deployed applications to ensure stability, reliability, security, performance and SLA monitoring in SIT, UAT and production environment
• Liaise with the end-user and technical solution team to implement solutions that align with the organization's business objectives.
• Create frameworks, technical features which helps in faster operationalisation of Reporting solutions
• Independently install, customise and integrate software packages and programs
• Manage the technical delivery within timeline and with quality
• Carry out POCs involving new data technologies
• Ensure end-user satisfaction and meeting service level agreement
• Create technical documents such as solution design, program specifications for target solutions
• Maintain and recommend software improvements to ensure a platform centric management of software applications
• Work on delivering Change Request and Project implementation for Microsoft PBI solutions
• Involve in UAT, user training, pre-implementation preparation and post-implementation support activities
• Maintain and support MBI environment
• Ability to train users effectively to use the reporting tool, to build, customize & schedule reports

The right candidate should possess:

• Min. 6+ years of experience in implementing SSAS & SSRS development & SSAS administration for On-Premise version of Microsoft Power BI
• Good knowledge of Power BI Server Architecture, expertise in PowerShell scripting
• Expertise in designing modular scheduling jobs (e.g. using Control-M) for refreshing SSAS In-Memory Models
• Expertise in performance optimization for SSAS Tabular models using Direct Query and In-Memory Models
• Experience in optimizing SSAS design by assessing DAX queries hitting Teradata based Data Warehouse & Data Mart
• Expertise in Windows / NT and SQL Server Administration - monitoring SSAS & SQL Server statistics
• Expertise in SSAS design, derived measures, SSRS reports & Data Modeling
• Knowledge of different code standards for SSAS, SSRS & PowerShell scripting; skills in leveraging reusable code components
• Experience in creating dashboards, volume reports, operating summaries, and presentations and graphs
• Hands on experience other BI Tools (Qlik) and Big Data tool stacks
• Knowledge in Data modelling, working with calculations, leveraging the Set Analysis
• Ensure incorporation of best practices and lessons learnt from prior projects
• Have Finance & Risk management domain knowledge
• Worked in large scale data warehouse & on premise Power BI, Qlik based visualisation

MITRE ASIA PACIFIC SINGAPORE (MAPS)

Under the initial sponsorship of Civil Aviation Authority of Singapore (CAAS), The MITRE Corporation, a U.S.-based, globally renowned research and development company, established its premier air traffic management research center in Singapore to support the growth in the Asia Pacific Region. This research center, MITRE Asia Pacific Singapore (MAPS), is in need of an Associate/Intermediate Data Scientist / Software Engineer to be part of a dynamic team of professionals working to improve air traffic operations in Singapore and the Asia Pacific region. The ideal candidate possesses excellent verbal and written technical communication skills, strong analytical abilities, the desire to acquire new skills, and the trait of being self-driven.

Key responsibilities include:

· Develop, maintain, and monitor data analytics that produce high quality data

· Analyze and visualize data products to derive insights and assess data quality

· Continuously improve the codebase and our development/deployment processes

· Consult with analysts and data consumers to ensure their needs are met

· Collaborate with peers during sprint planning, technical discussions, and code reviews

· Write clean and testable code that works consistently, both locally and on the compute cluster

Minimum Requirements:

• Good honours degree in in Computer Science, Mathematics, or other physical science/engineering fields), or equivalent practical experience

• 0-5 years relevant work experience

Preferred Qualifications:

• Experience with software development using Java, Python, and/or another high-level programming language

• Experience with data science techniques, data analysis, modeling, and visualization using Python, R, and/or Clojure

• Experience with Git version control software

• Familiarity with big data, distributed systems, and/or cloud platforms (Hadoop, AWS, Spark, Kafka, etc.)

• Familiarity with Agile and DevOps principles and practices

• Comfortable learning new languages and ideas

• Creative problem solvers and risk takers

• Ability to collaborate effectively with teammates, technical partners, and stakeholders

Fresh University graduates are encouraged to apply. Preference will be given to candidates who have knowledge of and/or experience in the field of air traffic operations. There is currently one opening. Interested candidates should inquire within The MITRE Corporation by emailing [email protected] by 25 April 2024.

Responsibilities:

• Responsible for data preparation, data mining, to create/identify opportunities through analytics
• Conduct exploratory data analysis and provide rapid iterations of analysis to refine problem and identify potential solutions
• Assemble large, complex data sets from a wide variety of data sources
• Interpret and communicate analytical findings and insights to technical and non-technical stakeholders in order to assist in making data-driven decisions
• Contribute to the development of data science infrastructure, tools, and frameworks for efficient data analysis, experimentation, and model deployment
• Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Requirements:

• Master’s / Bachelor’s Degree in a quantitative discipline (e.g., Statistics, Biomedical Informatics, Computer Science, Applied Mathematics, or similar)
• 3 years of relevant experiences in data analytics and governance
• Demonstrated experience with Python, R, or similar programming languages
• Working knowledge of data analysis tools and databases
• Strong analytical skills, with experience solving problems using data and providing practical business insights
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders
• Experienced in Public Health / Pharmaceutical industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 24106

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

he Specialist 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 Specialist 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 Specialist 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.

Job Qualification

Functional

 8 - 10 years of IT Security experience in administration and management of IT Security technologies primarily Symantec Data Loss Prevention, Symantec Endpoint Protection, Email Security, Data Classification and other endpoint & data security solutions;

 Should be a bachelors/masters/engineering graduate or equivalent technical degree in Information Technology or Computer Science;

 Knowledge of different domains of IT Security;

 Working & hands-on experience in administering the IT Security Solutions;

 Must have experience in working in similar Production setup in Run (Operations) mode;

 Ability to apply risk based approach while working on assigned responsibilities;

 Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;

 Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;

 Excellent in analytical, communication and documentation skills;

 Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;

 Must have strong understanding of ITIL processes and comfortable working in process oriented environment;

 Ability to work independently and as well as a part of team and is able to work under minimal supervision;

 Should have time management skills and able to manage work in fast moving environment;

 Excellent written and oral English language skills;

 Knowledge of French language is preferred.

Technical

 Hands-on experience on Symantec Data Loss Prevention (DLP);

 Highly proficient in data leakage prevention (DLP) technologies - troubleshooting and configuration management;

 Deployment, integration and administration experience of various components of Symantec DLP:

• Symantec Endpoint Protect
• Symantec Web Prevent
• Symantec Email Prevent
• Symantec Enforce

 Must have experience in defining, designing and configuring DLP Policies as per the business requirements;

 Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;

 Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;

 Professional Certifications:

• CISSP certified is highly preferred
• Symantec Certified Specialist: Administration of Data Loss Prevention (any version) is highly preferred.

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

Data Encoder – 1 year contract

Responsibilities:

You will work in the Data Analytics team to deliver significant and action-oriented analyses and recommendations to your stakeholders, to help drive decision-making with insights from customer data analysis.

Your work will be project-oriented, since you will get the opportunity to own analytical projects, starting from understanding stakeholder needs and problem definition, to the analysis and interpretation of results as well as communicating the findings to the Operational teams or other groups in Agoda (Marketing, Product, Partners Services). Typical analysis projects can be:

• Predictive modeling, e. g. of customer wait times or future call demand
• Segmentation of customers based on differing usage patterns of our customer service
• Design and implementation of new dashboards for business users

Responsibilities are:

• Work with stakeholders to understand their business needs and identify opportunities for analysis insight to inform their decision-making
• Understand and report to your team and senior management on business performance
• Ensure delivery of regular reports on time and without error
• Self-manage delivery of analytical projects
  • Defining the business problem
  • Determining the analytical approach
  • Efficiently extract relevant data
  • Appropriately use statistical and data analysis techniques
  • Sharing your findings using impactful data visualizations and efficient communication
  • Balance multiple priorities, updating stakeholders on progress and expected delivery
• Encourage and train department members in best practice use of Agoda data, analysis techniques and interpretation

Qualifications and Experience

• Bachelor’s degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results
• 4+ years of relevant experience, preferably working with large datasets and experimentation
• SQL proficiency required: can extract data from large databases using SQL to develop data queries
• Excellent problem-solving skills including the ability to analyze and resolve complex problems
• Expert Excel user: able to understand and build complex spreadsheets
• Strong business sense
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds
• Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines
• Fluent in English both spoken and written – additional languages are a plus

Attitude

• Curious, proactive, practical and solution-oriented with “Get it done!” attitude
• Data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels
• Interested in telling an impactful story with analysis and smart data visualization, not just number crunch
• Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience
• Able to work in a highly multi-cultural team
• Attentive to detail and committed to data integrity
• Aware of the importance of discretion, confidentiality, and ethical behavior

Good to have (but not required)

• Experience in management consulting
• Expert in one data analysis package, such as R or Python
• Experience with dashboarding / visualization software like Tableau

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities:

Contribute to building and maintaining data systems or pipelines.
Perform setup, installation, configuration, troubleshooting, and upgrades for COTS products.
Develop and implement improvements for data warehouses, data lakes, or equivalent platforms.
Participate in creating documentation, including design documents and troubleshooting guides.

Requirements:

Possess knowledge and/or hands-on experience in data management or data engineering.
Demonstrate proficiency in Linux commands, shell scripting, and various programming languages.
Experience with relational databases and NoSQL databases, data integration tools.
Familiarity with data/search/automation platforms and analytics tools
Knowledge and/or practical experience with Microsoft Azure Cloud services

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Interested Applicants

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Description:

• Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
• Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.
• Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
• Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
• Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.
• Establish, uphold, and oversee data security and privacy measures on the data platform.
• Work closely with other teams to ensure the successful execution of projects and initiatives.
• Maintain and provide day-to-day operational assistance on the data platform, including:
• Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.
• Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.
• Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
• Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
• Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
• Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.
• Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is considered a plus.
• Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
• Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
• Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.

Applicants with relevant experience may be considered for senior roles

Pls send in your updated resume stating past experiences, reasons for leaving, current and expected salaries to [email protected]

Responsibilities:

• Gather and analyze user requirements and translate them to business solutions
• Design, write and implement efficient code to preprocess data, train, evaluate, test and deploy models
• Plan, manage and lead data science projects
• Develop machine learning and deep learning models for production level
• Improve and manage existing models and systems
• Guide the internal team on technical details and project development
• Present insightful data outcomes to project stakeholders

Requirements:

• Bachelor’s Degree in Computer Science, Science/Engineering field or equivalent
• At least 2 years’ experience in Data Science related function
• Proficient in Python programming and common libraries for data analytics, machine learning and deep learning (pandas, numpy, scikit learn, keras etc)
• Good understanding of machine learning/deep learning algorithms and their applications
• Knowledge in use of SQL and/or noSQL databases (postgres, oracle, MongoDB etc.)
• Familiarity with implementing models at production level
• Experience with data visualization tools such as Power BI, Tableau
• Hands-on practical experience on other data science development in languages such as R, Java, C++, etc
• Experienced in manufacturing industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 23985

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

Join Team Amex and let's lead the way together.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.

This role resides within American Express Technology (AET) – Enterprise Services Decision Science Center of Excellence (CoE).

Responsibilities:

• Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
• Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at junior levels
• Actively participate in business and technical discussions and forums across Amex

Qualifications:

• Master’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred.
• Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
• Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
• Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
• Hands-on Experience with GCP and/or AWS is a plus.
• 2+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
• 2+ years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.

Expert in at least one of the following fields:

• Generative AI
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Natural Language Processing
• Optimization
• Probabilistic Inference
• Information Retrieval
• Recommendation Systems
• Bayesian Inference
• Advanced time series forecasting

Hands-on Experience with most of the following open-source solutions:

• Orchestrate: Airflow, Kubeflow Pipelines, ML Run
• Container: Docker, Kubernetes, Mesos + Marathon
• Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
• Observability: Prometheus, Grafana, Elasticsearch

Development:

• Programming Language: Python, Java, Scala, Julia
• IDE: Notebooks, PyCharm, VS Studio
• Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
• Feature Store: Hopsworks, Feast, or other purposed built Feature Store
• Model Format: ONNX, PMML

Job description :-

The Senior MS SQL DBA will be administrating MS SQL SERVERS including DB maintenance, technical guidance, and security in coordination with the Technology Infrastructure team. The overall objective is to use MS SQL knowledge to provide L3 DBA support for CTI/GFT apps using MS SQL Server.

Responsibilities:

• Serve as a technical expert on executive-level project teams providing technical direction, interpretation and alternatives

• Improve Problem Management and Stability within MS SQL environments

• Willingness to work in a high-volume environment

• Effectively collaborate with architecture, application development, requirements group, QA, testing and PMO teams

• Work with Audit/Compliance teams to install and maintain MS SQL security updates and patches

• Manage trouble and request queues ensuring timely resolution

• Provide expert support, analysis and research into exceptionally complex problems

• Assist with analysis, evaluation and preparation of recommendations for system improvements, optimization, development, and/or maintenance efforts

• Monitor status of critical system services for performance and server health

• Develop mutually beneficial working relationships with customers.

• Review, improve and approve technical work, to guide others, and to teach.

• Provide production support for MS SQL database systems independently.

• Provide COB support for MS SQL database systems.

• Identify tuning opportunities, implement improvements and advise developers on SQL tuning options.

• Install, Patch and upgrade MS SQL servers.

• Be capable of working independently as well as operating in a team environment, with a willingness to follow pre-defined IT policies and standards. Ability to understand clients needs and suggest solutions to address the clients requirements

Project Description:Hiring to create the future ready Data & Analytics professional!
Luxoft, a DXC Technology Company has embarked upon an extensive multi-year program to hire and upskill professionals and engage them in projects involving cutting edge data & analytics solutions for our extensive global clientele.
If you wish to progress your career into next gen data engineering, visualization, and advanced analytics solutions this opportunity is for you. We seek highly energetic Fresh Professionals with 0 to 3 years or Mid-Career Professionals with more than 3 years of experience having fundamental programming skills, analytical thinking, data concepts and a great passion to learn. Prior extensive experience in data & analytics projects is not mandatory but a definite plus.
Applicants need to be Singapore citizens.
This engagement shall involve an extensive 12 months training program (for Fresh Professionals) and 6 months training program (for Mid-Career Professionals) well interlaced with embedded on the job training in live internal or client projects. Post completion of training the candidate shall be certified as a "Data Warehouse & Big Data Professional" ready to be immediately deployed into client projects

Training details
In the course of this engagement candidates shall be trained on a variety of cutting edge data & analytics technologies such as:
1. Data modelling using different schema patterns such as Star/Snowflake/DataVault in Data Warehouse or Data Mining
2. Python programming
3. Hadoop architecture & HDFS storage platforms
4. Tools like Sqoop for Ingestion of data from source systems to HDFS
5. Apache Kafka architecture to create topics and partitions
6. ETL job development, monitoring & optimization using Hive script & Impala
7. Spark programming - Spark SQL, Spark Streaming
8. Data pipeline setup, analysis, insights & analytics using end to end data solutioning platforms such as Cloudera leveraging cloud infrastructure on AWS or Azure
9. Data quality, governance & security technologies

Training program shall also include other topics such as:
1. Communication management
2. Stakeholder management
3. Change management
4. Creative & computational thinking
5. Business analysis

Possible Roles post training period:
1. Data engineer
2. Data architect
3. Data visualization & analytics expert
4. Advanced data analytics expert
5. AI/ML expert

Responsibilities:

• Demonstrate passion to learn cutting edge big data technologies
• Consistently participate in the training sessions and learning programs
• Actively engage and apply learnings into live internal or client projects during course of the training

Mandatory Skills Description:

• A good degree, postgraduate or Diploma qualification in IT Engineering
• Fresh Professionals (0-3 years of work experience) or Mid-Career Professionals (3+ years of work experience) in IT, along with good knowledge in data structures, SQL and Java OR Python
• Analytical and problem-solving skills
• Strong written and spoken communication skills and interpersonal skills

Nice-to-Have Skills:

• Fundamental understanding of Big Data concepts (academic trainings or certifications)
• Experience in financial services domain