Responsibilities

• Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery

• Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework.

• Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.

• Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)

Skills/Requirement

• Minimum of 3 years’ experience in IT development roles such as data integration on Google Cloud & Dataiku or similar cloud services

• Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.

• Proficiency of Dataiku (on Google big query): development of dataiku flows, implementation of scenarios, scheduling, management of versioning, releases into production, administration etc.

• Mastery of complex SQL queries

• Good knowledge of Python is a plus

• Development practices with data exchange architectures: webservice, API, streaming.

• Development in an agile team and the tools used in CI / CD (Git, Bash, CLI, Azure devops, Jira, Confluence)

• Knowledge of Microsoft Power BI, data catalog tool, data quality, data management

Permanent, 5 days, Serangoon.

Our Client:

Data center Cooling Solution Provider

Job Scope

• Together with technical engineer, to develop solutions based on client’s unique requirement.
• ·70% Hunter role and 30% farmer role to data center builder, consultant, owner.
• Manage the sales cycle from request for information (RFI) to closing
• · Proactively carry out prospecting activity in order to increase the sales opportunity

Requirement

• Degree in Mechanical/Electrical engineering
• 3 years’ experience in data centre cooling solution sales with good sales record
• Good network with data centre builder, consultant, owner

What’s on offer

· On target pay + car allowance ($600) + commission

· Stable Management

· Dynamic work environment

Job Description:

• Monitor and ensure product delivery velocity with good communication
• Be the leader spearheading new projects together with fellow data scientists.
• Provide guidance to junior staff and nurture them with the aim to build up a solid support force for data science-related product development
• Be the Product Owner for data pipeline maintenance, initiate and coordinate deployment of enhancement whilst overseeing the overall stability of the pipeline
• Initiate enhancement of in-house forecast solution.
• Analyze forecast inquiries from local offices, proposing enhancements to the current models.
• Respond to the forecast system users' inquiries.

Requirements

• Proficiency in Python/SQL, capable of working independently or as part of a team
• Proficiency in Cloud Platform (GCP is preferred)
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Proficiency to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow up actions
• Minimum 5 years' experience in SaaS product development preferred

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Job Description:

• Plan and execute data centre migration
• Oversee procurement of new servers and network equipment
• Manage data migration and verification processes
• Set up new Server Room compliant with Green Book standards
• Migrate Wireless and Wired LAN, WirelessSG, and WAN migrations
• Minimise operational impact during transition
• Ensure compliance with security and industry standards
• Any other services to be assigned in relation to IT setup and support.

Requirements:

• At least 5 years’ experience in ICT Project Management / IT Infrastructure Projects, particularly Data Centre relocations
• Strong knowledge of data centre operations and network infrastructure, servers
• Relevant IT certifications (e.g., ITIL, CISSP, PMP) preferred
• Familiarity with Green Book standards for server rooms
• Excellent project management skills
• Experience with risk management and mitigation in IT projects
• Strong communication skills to liaise with various stakeholders

Please contact Terence at +65 9645 4048 your resume directly for fast response.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

Provide support to manufacturing activities

Manual Intervention Tasks

Shift Support:

• Coordinate with other shift Automation resources to ensure smooth handovers.

• Contact and assist duty Automation Engineer on resolving complex technical tasks.

Safety and Compliance:

• Adhere to safety protocols and guidelines.

• Report any safety incidents promptly.

• Comply with company policies and procedures.

Job Requirements:

• Min Degree in Science/Pharma/Lifesience/Biomedical & above

• Possess good troubleshooting skills

• Full awareness of current Good Manufacturing Practices (cGMP)

• Required to wear personal protective equipment such as safety glasses/goggles, gloves and safety shoes

• Ability to work around chemicals (alcohols, acids & bases)

If you are interested in any of the positions, do kindly drop your most updated resume to

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Job Description: Assoc Director / Senior Manager, HR Data and Analytics APAC
Department: Human Resources
Location: APAC Region

Reporting lines: Direct - Head of Compensation & Benefits and HR Operations APAC, Dotted – Chief Talent Officer APAC

Job Summary:

The Assoc Director / Senior Manager, Data and Analytics (C&B and HR Operations) will have dual roles in managing both HR data analytics /reporting supporting Compensation and Benefits and Talent programs across APAC region. This role will ensure the effective use of HR platforms to support the Talent Management future direction, providing actionable insights to inform effective workforce planning and data & statistical analysis whilst maintaining high standards of data accuracy and reporting.

Key Responsibilities:

1. Regional Coordination and Point of Contact:
   • Serve as the regional point of contact for C&B, HR Operations and Talent Management for both APAC and Groupe on Publicis Global programs and platforms
2. C&B, Platform and System Management:
   • Stay updated with C&B programs and HR platforms best practices and new functions
   • Partner with markets on roll-out and updates of global C&B programs and HR platforms and systems within the APAC region
   • Work with APAC markets to ensure accurate and timely information availability across all HR platforms aiming for 100% accuracy
3. Data Analysis and Reporting:
   • Collaborate with subject matter experts across functions including HR, Finance, Talent Acquisition to gather and interpret requirements and develop metrics, reports and dashboards to support the needs of the business
   • Use advanced data analysis to influence changes to operations, processes, policies and programs
   • Design and deploy data pipelines and solutions to help business make better people decisions
   • Deploy leading analytics techniques to deepen employee engagement and development
   • Develop Predictive Analytics based on HR requirement
   • Identify data source and information required to perform predictive Analytics
   • Identify the relevant tools or system required to ensure consistent review of the analytics
   • Design analytical solutions, implement algorithms, and perform experiments to define the next generation HR capability
   • Stay abreast of emerging trends and best practices in HR analytics, data science and technology and identify opportunities for innovation
4. Operational Support:
   • Manage all HR reporting for the function i.e. C&B, Operations, Talent Management etc
   • Own and optimize existing reporting (Monthly, Quarterly, Annually) as part of the Talent management framework. This will include design sprints, support to business growth areas, and HR reports to inform the HR organization and the business
   • Manage regional HR market survey submissions  
   • Support on the development of HR related tools, playbook and framework
   • Manage platform users, and support the team with platform-related issues, in coordination with global support
5. Onboarding and Training:
   • Provide training to market HR teams on specific analysis and reporting functionalities.

Publicis Platforms

Qualtrics, ICIMS, Career Conversations, Lion Alert, Marcel, Career Setting

What we’re looking for:

• Proven experience working with unstructured data to produce meaningful insights and problem-solve business problems.
• Hands-on experience mining and deriving insights from large datasets; adept in using data analytics to draw insights from data and visualization tools for presentation of data to effectively convey meaningful insights
• A strategic mindset that understands the business and how HR can influence better decision making when the data is used to tell a story with the ability to effectively communicate technical concepts to non-technical stakeholders
• Experience working in a global data intensive environment, where HR systems, data management, and report generation are primary functions of your role.
• Effective communication and project management skills
• Ability to work collaboratively with regional, global teams and stakeholders
• Strong attention to detail and commitment to accuracy and quality in data analysis and reporting
• Experience with HR Sytems (e.g. SAP) and other HR technology platforms is a plus

Preferred Skills:

• Advance proficiency in MS Office, including Powerpoint and superior Excel skills, Tableau and statistical software e.g., Power PBI, SPSS, R, Python, Tableau
• Experience with predictive analytics and data visualization.
• Knowledge of APAC regional HR practices and compliance requirements.

Key Competencies:

• Analytical Thinking
• Data Management
• Project Management
• Communication
• Collaboration
• Attention to Detail
• Curiosity

No experience/Diploma in Precision/Mechanical/Mechatronic/Electrical/Electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400-$2800+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Address: Gul Circle (Have company bus transportation islandwide)

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Leverage modern data engineering techniques and Advanced Analytics to support business decisions for Avanade clients. Shape the future with data-driven insights to achieve business outcomes.

Come join us

We are seeking a talented Data Modeler to join our dynamic team. The ideal candidate will have a strong background in designing and implementing data models that support business intelligence and analytics. You will be responsible for transforming complex data into actionable insights, ensuring data integrity, and optimizing database performance. Together we do what matters.

What you will do

• Work with the data functional team, key business representatives, application designers and solution architect to understand data landscape, data sources, and end requirements.
• Create conceptual, logical and physical data models for the to be reporting and analytics solution.
• Create entity-relationship diagrams for relational systems and dimensional diagrams.
• Create data models using Data Vault and/or Star-Schema modelling techniques
• Work with the technical architect and data engineering team to understand database constraints and implementation considerations.
• Help define and create required metadata.
• Maintain data models continuously as modifications and enhancements are made.
• Analyze and recommend aggregations and other measures to improve performance.
• Support detailed data mapping.

Skills and experiences

• At least 7+ years’ experience in data modelling
• Experience in managing projects in Telco industry
• Experience in at least 4 data / analytics project implementations in large (>10000 employees) enterprises.
• High proficiency in logical data modelling - 3NF, dimensional.
• High proficiency in physical data modelling for relational databases.
• High proficiency in data vault and/or star-schema modelling techniques.
• High proficiency in SQL and cloud data warehouses (ie. Snowflake)
• Proficiency in a dedicated data modelling tool (ie. Idera, Erwin)
• Proficiency in big data concept

Experience Required

• At least 3 years related experience
• Experience and deep knowledge within Sales Excellence, Business Planning, Sales Operations, or Finance
• Executive exposure and cross-functional stakeholder management
• Focus on providing process optimization by understanding the desired business outcome
• Deliver end-to-end deep data analysis and actionable strategic insights
• History of driving rigor and sales discipline
• Innovate to deliver standards which enable speed, efficiency and scale in the business
• Proven communication and collaboration skills
• Should have excellent experience in MS Excel.

Experience Preferred

• Familiar with financials, pipeline, scorecarding, and other internal measurement tools
• Functional (Partner, Services, Sales, Marketing) knowledge
• Experience in Power Apps and Power BI

Job Description:

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
• Solid 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 ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Please send your detailed resume in MS Word format to : [email protected]

Stating your notice period / earliest available commencement date, Current & expected salaries.

Understanding of Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume)

Experience with Java or Big Data Technologies a plus

Any big data experience with Hadoop, HDFS, cluster management

Experience in designing & developing enterprise application solution for distributed systems

Experience with Hive, Pig & Map Reduce and Hadoop ECO system Framework

Experience in Hadoop and its components like HDFS, Apache Pig, Hive, Sqoop, Spark, Hbase, NIFI, Cassandra

Involved in Design and Development of technical specifications using Hadoop technology

Very well experienced in designing and developing both server side and client-side applications.

Key Responsibilities:

• Responsible for Data and Analytics product and ensure timeline and quality of it's delivery.
• Leading Development Operations team of technical experts to ensure ongoing and future integrity of Data and Analytics delivery in APAC.
• Align with data transformation, data governance, and data platform teams to ensure that all delivery is in line with central and regional standards.
• Communicate proactively with stakeholders on development progress, risk, and timeline. Collaborate with Product Owner to resolve roadblocks to ensure stakeholders satisfaction.
• Initiate and propose new ideas to product owner to drive implementation of data transformation and data analytics product strategy.
• Collaborate with Business Analyst to gather, clarify and estimate timeline of Data Analytics use cases requirement from business teams.
• Incorporate standard operation processes to ensure operability of live data products complied to Service Level Agreement agreed with stakeholders.

Qualification:

• Master in Computer Science, Mathematics, IT or equivalent degree
• Min. 3 years of relevant functional experience
• Exposure to agile ways of working (Scrum, KANBAN, and scaled frameworks like LeSS, SAFe, DA, Scrum Nexus, etc.)
• Hands-on experience in agile software engineering environments is a bonus
• Strong leadership and people management skills
• Expert knowledge of Cloud technology (AWS is a plus), Data Analytics, Data Visualization, and Machine Learning

Interested candidates please email your resume to [email protected]

We regret only shortlisted candidates will be notified.

Click apply if you enjoy the following,

• Interaction with people
• Fun and vibrant environment
• Work hard and play hard

Scope:

Recruitment

• Write and post advertisements (unleash your creativity)
• Brainstorming ideas to boost recruitment
• Screening and set-up appointments between candidates and HR manager
• Prepare starter kits
• Maintain the sales team's profile and details into system
• Participate in team bonding activities

Administration

• Tallying sales reports sent from HQ to ensure income is being paid accurately
• Key in sales reports
• Prepare director's reimbursements
• Housekeeping of office location
• Ad hoc duties required by the director

Requirements:

• Singaporeans only
• Pleasant and good learning attitude
• Proactive
• Meticulous and detail-oriented
• Approachable and friendly

Interested candidates who are keen to find out more about this opening, click apply now!

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Responsibilities

• Data Analysis, Profiling
• Preparing functional specification document
• Preparing Data Mapping specs which involves writing transformation rules to move data from one layer to another
• Data Management related tasks like Reference data standardization

Skills/Requirement

· Minimally Diploma/Bachelor’s degree or equivalent work experience in related industry.

· Define — Define the data to be moved, including the tables, the fields within each table, and the format of the field after it is moved.

· Map the Data — Match source fields to destination fields.

· Transformation — If a field requires transformation, the transformation formula or rule is documented and coded in programs.

· Exposure to data migration, data integration, and other data management tasks.

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

**********************************

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

**********************************

Responsibilities:

• Physical IMACD support
• Installation of server
• Develop, manage, document, and update technical and quality standards.
• Data Center walkthrough services
• Escort Services
• Media management
• Data Sanitation
• site capacity movement
• Monitor and manage environment and equipment.
• Manage the movement of equipment.
• Manage services by third parties security personnel.
• Other ad hoc data center activities as and when required.

Requirement:

• Familiar with Data Center activities.
• Possess server hardware knowledge
• Willing to work on staggered working hours between 7am and 7pm

Job Summary

The candidate will play a key role in automating production operations, ensuring seamless integration with the daily monitoring operations of the Agency’s IT systems.

Key Responsibilities

•Continuous Service Improvement: Add value to Data Centre Operations by identifying improvement opportunities to sharpen Production stability, stakeholders experience and overall service quality.

•Identifying opportunities for automation within production processes to streamline operations and reduce manual intervention.

•Timely escalation and communication of major incidents such as escalation matrix, leading, driving, facilitating, and chairing all investigation activities.

•Being accountable for resolving the incident with workaround or permanent solution.

•Participate in troubleshooting system and network connectivity problems before escalation.

•Monitoring production metrics and performance indicators to ensure targets are met.

•Ensuring compliance with safety and regulatory standards in production.

•Other ad-hoc duties as instructed.

What we are looking for

•At least 5 years IT experience as Level 1 Production Operations engineer.

•Strong analytical skills: The ability to analyse production processes and identify areas for improvement and optimisation.

•Technical Proficiency: Profound knowledge of production systems issues and effective solutions to enhance operation efficiency.

•Problem-Solving Aptitude: A knack for troubleshooting production issues and devising effective solutions to enhance operational efficiency.

•Experience in Data Centre facilities, including temperature and humidity monitoring system, smoke detection and fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTC, keypress units, etc.

•Familiarity with AWS tools such as CloudWatch, Cloud Trail, etc would be an advantage.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Define and manage Service Level Agreements for all data sets in allocated areas of ownership
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
• Influence product and cross-functional teams to identify data opportunities to drive impact
• Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
• 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
• 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

• Master's or Ph.D degree in a STEM field

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

You will be actively involved in data management of clinical research studies and long-term study databases. Your responsibilities will include:

1) Extract data from medical case report, maintain database, and perform data mining from hospital Electronic Medical Record (EMR).

2) Perform ETL (Extract, Transform and Load) raw data from enterprise data warehouse.

3) Harmonize data from multiple sources and transform raw data into analyzable insights.

4) Perform analysis of registries and databases to identify and interpret key patterns and to support the communication of these insights to internal and external stakeholders on a planned regular basis and on ad hoc requests.

5) Maintain and build AI applications across tumor types, for examples, information extraction, entity recognition and predictive analysis with machine learning models.

6) Database environment scheduled server maintenance and acceptance tests.

7) Cross-institutional access account application and management.

8) Assist the Principal Investigator in submission of accurate and timely closeout documents. Coordinate appropriate and timely payments to participants where applicable.

9) Handle all initial and follow up communications between patients, healthcare professionals, clinical trial industry sponsors and PI/Co-Investigators.

Requirements:

1) Degree or Master in Life Sciences, Bioinformatics, Statistics, Computer Science or Data Science.

2) Have programming and data science background. Data wriggling skills using Python and technical knowledge on SQL are must.

3) Skill and knowledge on other tools like R, programming, OBIEE, JSON, XML, HTML, structured and unstructured data processing and Tableau will have added advantage.

4) Experience in healthcare data and health data standards is desirable.

5) Experience in descriptive and predictive analytics will have added advantage.

6) Meticulous, with excellent organizational and time management skills.

7) Good communication, organizational and interpersonal skills.

8) Ability to complete tasks independently with minimal supervision.

9) Ability to work on multiple projects involving multiple stakeholders concurrently.

Wells Fargo is seeking an APAC Data Management Lead / Senior Lead Data Management Analyst to join the International Data Management team. The team is part of the CIB Data Management team, supporting EMEA & APAC legal entities. The team supports all the businesses and functions within the region and is responsible for creating data sourcing plans for various use cases, end to end management of data quality issues, implementation of enterprise data governance frameworks & supporting adherence to BCBS 239 requirements. Learn more about the career areas and lines of business at wellsfargojob.com.

About the Job

The International Data Management team is looking for an APAC Data Management Lead. A key part of the role will be liaising with APAC stakeholders to understand data requirements & issues and deliver on a timely basis. Lead will also be responsible for execution of Data Governance initiatives in the region.

Responsibilities

• Proactively build partnerships with key senior stakeholders in the region to advance data management book of work in the region
• Partner with key stakeholders (e.g. Finance & Risk reporting teams in the region; global upstream & tech partners) and create data sourcing plans to cater for new regulatory reporting requirements and for strategic data remediation
• Lead end to end data quality resolution (e.g. Data issue triage, performing root cause analysis, partnering with global stakeholders in driving resolutions)
• Take a lead on internal & external audit requests for the data management function in APAC (e.g. understanding the requirements, providing relevant artefacts on a timely basis, ability to clearly explain the process & artefacts to the audit)
• Take a lead on data governance initiatives in the region (e.g. BCBS 239 and local regulatory adherence, Initiatives driven by enterprise data management policy & procedures)
• Prepare and present materials in relevant data councils & senior stakeholder forums (e.g. Steerco)

Required Qualifications:

• 7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 10-15 years of work experience in banking of which 5+ years spent in a Data Management function
• Sound knowledge of BCBS239 principles and industry adherence practices.
• Experience related to data quality, data enablement & data governance functions
• Ability to influence senior management
• Strong written and verbal communication skills with ability to communicate at all levels
• Strong ability to work independently & exercise independent judgement to identify and resolve problems
• Experience working in matrix organisation
• Exposure to regulatory reporting & project management will be advantageous

We are partnered with an established bank in search of a Manager for thier Data Centre, to oversee the end-to-end operations and maintenance of data center facilities, ensuring high availability, optimal performance, and adherence to stringent security and regulatory standards.

Responsibilities:

• Data Centre Operations & Maintenance:Lead 24/7 operations, ensuring compliance with all regulatory and operational standards, and maintain uptime and system availability.
  Oversee facility infrastructure, including power, cooling, security, and network management to support high-density, mission-critical environments.
  Conduct regular inspections and proactive maintenance to prevent disruptions.
  
• Cluster Supply Organisation Collaboration:Engage actively in a cross-functional team structure, working with agile methods that support rapid, flexible responses to changing conditions and customer needs.
  Embrace iterative development practices, continuously enhancing products and services to deliver valuable functionalities to customers.
  
• Team Leadership & Development:Lead a team of data center technicians and engineers, guiding skill development, encouraging accountability, and fostering a “fail fast” approach to enable rapid correction and adaptation.
  Share specialized knowledge across cells and chapters, maintaining open communication for regular, timely feedback.
  
• Strategic Planning & Process Improvement:Coordinate data center activities, including system installations, upgrades, repairs, and maintenance, aligning with the bank's digital strategy.
  Manage the full product lifecycle, taking quality, compliance, and customer needs into account.
  Implement agile quality assurance and risk management frameworks to ensure secure, reliable operations.
  
• Capacity & Resource Management:Anticipate capacity needs, optimize space, power, and cooling, and manage a budget to ensure cost efficiency while maintaining performance standards.
  Organize and prioritize regular tasks, using a proactive approach to risk, compliance, and resource management.
  
• Security & Compliance:Ensure physical and data security, maintaining compliance with regulatory standards (e.g., PCI-DSS, ISO 27001) and internal policies.
  Coordinate disaster recovery (DR) and business continuity (BC) planning, ensuring frequent failover testing and readiness.
  
• Vendor & Stakeholder Engagement:Manage relationships with vendors and service providers, ensuring adherence to service-level agreements (SLAs).
  Liaise with IT and business stakeholders to align data center activities with broader business goals.
  

Requirements:

• Degree in Computer Science, Engineering, or a related field
• Financial Services experience is a must
• Minimum of 7 years in data center operations
• At least 4 years in a management role in the banking or financial sector.

Job Description

• Co-ordinate with construction team to ensure all inspection and testing requirements are fulfilled and work quality is achieved in order to meet client’s requirement as per the contract.
• Monitor the implementation of the Project Quality and Environmental Plan
• Ensure quality of works in accordance with Quality Management Plan including development of Method Statements, Inspection & Testing Plans and Checklists
• Conduct site inspections
• Witnessing and sentencing of all site inspections within their disciplines
• Assess subcontractor/supplier QA arrangements for compliance with contract requirements
• Acquaint section personnel with QA requirements and arrangements in place to achieve them • Audit and monitor QA and Environmental systems for compliance and effectiveness
• Coordinating and maintaining a non-conformance control system including issuing of non-conformance reports to the Project Manager and ensure corrective actions are implemented and effective
• Control/check on status of issue/revisions of QC documents/drawings within section/on sites
• Assist the Project QA Manager and section managers in the production and implementation of Safety, QA, QC and Environmental procedures
• Ensure key dates are achieved for preparation and submission (where appropriate) of quality procedures, inspection and test plans
• Provide regular reports and analysis of QA performance to Project QA/E Manager
• Assist in the development and maintenance of company systems Coordinate documentation including planning, reviewing and updating of the Project Management Plan

Job Requirement

• Degree in Civil engineering
• 3 years’ experience as a QA/QC Engineer
• Preferably with data center project experience

Main Responsibilities:

• Design, build, and maintain scalable and efficient data pipelines for collecting, processing, and storing large datasets.
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Develop, implement, and optimize ETL (Extract, Transform, Load) processes for data integration from various sources.
• Ensure data quality, consistency, and accuracy across all systems.
• Perform data cleansing, transformation, and aggregation tasks as part of the data pipeline.
• Monitor, troubleshoot, and optimize data workflows for performance and reliability.
• Design and implement data models and schemas for efficient storage and querying.
• Maintain data infrastructure and ensure best practices for data governance and security are followed.
• Collaborate with cross-functional teams to provide insights and support business objectives through data-driven solutions.
• Continuously evaluate and implement new technologies and tools to improve the performance and scalability of data systems.

Qualifications & Experience:

• Bachelor's degree in Computer Science, Engineering, or a related fields.
• Minimum 10 years of proven work experience with Power BI.
• E2E knowledge in working with Azure.
• Prior experience in developing Power BI including backend data transformation.