Total 855 data entry clerk job vacancies in Information Technology category in Singapore

Job Description

• Industry/ Organization Type: Cleaning/ Maintenance Services
• Position Title: Data Centre Cleaning & Maintenance Technician
• Working Location: Islandwide
• Working Hours: 6 days (Mon-Sat, 9am – 6pm)
• Salary Package: Basic + OT + Performance Bonus + Extra 2 days Leave/ month
• Duration: Permanent

Key Responsibilities

• Carry out cleaning tasks at assigned sites (e.g. vacuuming, mopping, disinfecting, etc.)
• Support installation works as instructed.
• Inform supervisors when supplies are low, equipment is damaged, or facility issues need repair.
• Assist with deliveries.
• Perform general housekeeping in the warehouse and storage areas.
• Follow safety and cleanliness requirements.
• Use cleaning and maintenance equipment safely and properly.
• Perform any other duties assigned by the Manager or Management.

APPLY NOW!!!

• Comfortable using cleaning tools and equipment.
• Willing to learn and adapt to different tasks and responsibilities.
• Basic English skills (able to read instructions and communicate).
• Willing to work overtime when needed, including after hours and weekends.
• Able to work well in a team and independently with minimal supervision.
• Good communication skills; responsible and reliable.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82315 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

We are seeking highly motivated and skilled Data Center/IDF/MDF Smart Hands Support Engineers (L1 & L2) to join our dynamic team. As a Smart Hands Engineer, candidates will be responsible for providing remote and on-site technical support for our critical data center infrastructure, including IDF/MDF rooms. Techs will perform a range of tasks, from basic troubleshooting and equipment handling to more complex issue resolution and project implementation.

This role requires a strong understanding of data center environments, excellent technical skills, and a commitment to delivering exceptional customer service. Willingness to travel locally within Singapore and internationally across APAC.

Responsibilities:

• L1 & L2 Support: Provide first and second-level technical support for data center infrastructure, including servers, network devices, storage systems, power infrastructure (UPS, PDUs), and environmental monitoring systems.

• Remote Hands Support: Execute remote instructions from senior network engineers, including server reboots, basic troubleshooting steps, and equipment configuration changes.

• On-Site Support: Perform on-site tasks such as equipment installation, racking and stacking, cabling, visual inspections, and component replacements.

• Troubleshooting & Diagnostics: Diagnose and resolve technical issues related to hardware, software, and network connectivity. Escalate complex issues to L3 engineers or vendors as needed.

• Monitoring & Alerting: Monitor data center infrastructure for performance and availability, responding to alerts and notifications in a timely manner.

• Documentation: Maintain accurate records of all work performed, including trouble tickets, incident reports, and equipment inventory.

• Preventative Maintenance: Participate in preventative maintenance activities to ensure optimal performance and reliability of data center equipment.

• Vendor Management: Work with vendors to resolve technical issues and coordinate equipment repairs and replacements.

• Project Support: Assist with data center projects, such as new equipment deployments, upgrades, and expansions.

• Adherence to Procedures: Follow established procedures and best practices for data center operations and safety.

• IDF/MDF Management: Maintain and support IDF/MDF rooms, including cable management, environmental monitoring, and equipment organization.

Requirements:

• Diploma/Degree in Electronics, Electrical Engineering, Computer Science, or a related field.

• L1: 0-2 years of experience in a data center or IT support environment. Freshers with relevant technical certifications are encouraged to apply.

L2: 2-5 years of experience in a data center or IT support environment with demonstrable L2 support capabilities.

Technical Skills:

• Solid understanding of data center infrastructure, including servers, network devices (routers, switches, firewalls), storage systems, power infrastructure, and environmental monitoring systems.

• Experience with operating systems (Windows Server, Linux) and virtualization technologies.

• Basic networking knowledge (TCP/IP, DNS, DHCP).

• Proficiency in using ticketing systems and documentation tools.

• Strong troubleshooting and problem-solving skills.

• Experience with cabling standards and best practices.

Familiarity with IDF/MDF room standards and best practices.

Additional requirement:

• Willingness to travel locally within Singapore and internationally across APAC.

Certifications (Preferred):

• CompTIA Server+, Network+, A+

• ITIL Foundation

• Data Center certifications (e.g., CDCP, CDCS)

Summary of the Job

• To accurately input, update, and maintain data in company systems and records, while ensuring materials and transactions are correctly matched to the respective production orders, supporting data integrity and operational efficiency.

Job Responsibilities:

1) Data Entry & Record Managemnt

• Enter data into systems (ERP, QC Apps)

• Perform data verification and cross- checking to minimise errors and discrepancies.

• Generate daily, weekly, and monthly QC data reports as required by the QC team.

2) Material & Production Order Verification

• Cross-check:
  - Production Order Number
  - Item/ Part Number
  - Quantity
  - Ensure no mismatch between materials and system records

3) Communicate with production, warehouse, and relevant departments to clarify missing or incorrect data

4) Generate daily handover report for QC to Warehouse and secondary process

5) Assist leader on job order closing, timesheet update using ERP

6) Other duties as and when assigned

Job Requirements:

• Secondary/ NTC in Engineering and above

• At least 1 year experience in Data entry/ documentation control

• Knowledge of MS Office

• Ability to communicate orally in English language and produce written documentation with clearly organized thoughts

• Self-motivated, highly resourceful, and organized

Job Responsibilities:

• Assist in the preparation, validation and consolidation of HR data for reporting and analytics purposes, as well as in the audit and analysis of division’s performance data to identify gaps and improvement opportunities.
• Organise HR GSS datasets and conduct ad-hoc audit checks to ensure data integrity, consistency and compliance with established standards.
• Develop dashboards and trackers to monitor overall HR GSS’s SLA performance achievements and incident rates.
• Manage office administration such as coordination of team meetings, project tracking and documentations and tracking of Division’s IT assets and stationaries where applicable.
• Participate and support in ad-hoc new HR projects.

Job Requirements:

• Diploma in Human Resources, Business Analytics, Statistics, or related fields.
• Prior internship or work experience in HR or data-related roles is a plus.
• Strong proficiency in Microsoft Excel (pivot tables, VLOOKUP, charts) and PowerPoint.
• Strong attention to detail and analytics skills.

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!

Interested candidates please submit your resume to jacechoo@recruitexpress.com.sg

Jace Choo Oi Kei

Personnel EA License No.: R1875164

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Why Join

Be a key driver of innovation within OCBC’s risk management framework. As a Data Engineer in Group Audit, you’ll be at the forefront of automating and enhancing our audit processes through cutting-edge data solutions. You’ll gain invaluable experience in data pipeline development, automation tools, and data visualization, contributing directly to the bank’s resilience and the integrity of our operations.

How you succeed

To excel in this role, combine a passion for data with a problem-solving mindset. You’ll need to understand existing processes, identify opportunities for automation, and build effective solutions. Strong collaboration skills and a meticulous attention to detail will be crucial. Success means delivering impactful results, embracing new technologies, and constantly seeking ways to improve our audit capabilities.

What you do

Your responsibilities will include:

• Understanding existing audit workflows and identifying opportunities for simplification and automation.
• Developing operational workflow diagrams to facilitate the design of automation solutions.
• Building and automating data pipelines to support audit analytics.
• Utilizing automation tools like Power Automate, UiPath, or Python to streamline processes.
• Maintaining and enhancing existing Robotic Process Automation (RPA) tools.
• Developing visualization dashboards using Power BI to present audit insights.

Who you work with

You will collaborate with other team members in Audit Analytics, based in various offices, and with other Group Audit teams to understand their analytics requirements, assess the current pain-points and develop and deploy analytics solutions to address these pain-points. This may include redesigning current processes, streamlining the processes using the appropriate tool(s), developing solutions, conducting user acceptance testing, managing rollout, and evaluating the effectiveness of the process automation.

Who you are

• A recent graduate from a Polytechnic or University with a diploma or degree in the relevant field.
• Possess an undying curiosity and passion about helping our internal stakeholders to automate their workflows
• Demonstrate proficiency in RPA tools like Power Automate / UiPath / Python and visualization tools such as Power BI / QlikView or QlikSense /Tableau.
• Detail-oriented and possess a strong analytical mindset.
• A collaborative team player with a proactive approach to problem-solving.

Learning Objectives
This programme will provide you with:

• Hands-on experience in data pipeline development and automation.
• Proficiency in using industry-leading automation and visualization tools.
• Exposure to the full lifecycle of audit analytics projects, from ideation to implementation.
• Opportunities to collaborate with experienced auditors and data professionals.
• A deep understanding of risk management and governance within a large financial institution.

Who we are

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here.

What we offer

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

Responsibilities

• Analyze existing Talend ETL jobs and design equivalent Spark-based pipelines.
• Migrate and optimize data workflows from Talend to Spark (PySpark/Scala).
• Collaborate with data architects to define scalable data lake/lakehouse solutions.
• Developer for data-warehousing, ETL and BI projects in Informatica IDMC and Databricks.
• Responsible for all technical development work and support the leads on technical design and systems impact analysis.
• Integrate Spark pipelines with cloud platforms (AWS, Azure, GCP).
• Work with orchestration tools (Airflow, Databricks Jobs, etc.) to schedule and monitor workflows.

Skills/Requirement

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent
• Minimum 6 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Understanding and hands on experience in all phases of project lifecycle & has implementation involvement in at least 4 project cycles.
• Solid understanding of data warehousing concepts and SQL.
• Familiarity with cloud services (AWS EMR, Azure Databricks, GCP DataProc).

Interested candidates, who wish to apply for the above position, please send in your resume to: ansari.abdulrahman@persolapac.com

PERSOL 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.

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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 PERSOL 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.persol.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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Senior / Data Engineer

About the Role

We are looking for Senior / Data Engineers to design, build, and optimise scalable data platforms that support analytics and data-driven decision making across the organisation.

You will work closely with cross-functional teams including business stakeholders, analysts, and engineers to deliver robust data solutions and modernise data infrastructure.

Key Responsibilities

Data Architecture & Solution Design

• Collaborate with stakeholders to gather requirements and translate them into scalable data solutions
• Design data architectures aligned with enterprise data strategy and governance standards

Data Pipeline Design & Development

• Build and maintain end-to-end data pipelines across ingestion, transformation, and serving layers (e.g. raw, curated, and business-ready datasets)
• Develop batch and real-time data processing workflows
• Implement data quality checks, validation, and monitoring

Data Modelling

• Design and implement data models (star schema, Snowflake, wide tables)
• Apply Slowly Changing Dimension (SCD) techniques for historical data tracking

Platform Optimisation & Maintenance

• Monitor, troubleshoot, and optimise data pipelines for performance, scalability, and cost-efficiency
• Improve reliability and maintainability of existing data systems

Data Governance & Best Practices

• Ensure adherence to data governance, security, and compliance standards
• Contribute to best practices in data engineering, including metadata management and lineage tracking

Collaboration

• Partner with data analysts, data scientists, and engineering teams to deliver business-impacting data solutions
• Communicate technical concepts clearly to non-technical stakeholders

Requirements

Experience

• 5+ years of experience in data engineering or related roles
• Proven experience designing and implementing scalable data pipelines and platforms

Technical Skills

• Strong proficiency in Python and SQL
• Experience with data processing frameworks and APIs
• Solid understanding of data modelling techniques and SCD implementation

Data Platforms & Architecture

• Experience with modern data architectures (Data Lake, Data Warehouse, Lakehouse)
• Familiarity with distributed data processing and pipeline orchestration

Cloud & Tools

• Experience with cloud platforms (e.g. AWS, Azure, or GCP)
• Familiarity with tools such as Databricks, Airflow, or similar
• Exposure to infrastructure-as-code and DevOps practices is a plus

Other Skills

• Strong problem-solving and analytical thinking
• Ability to work in cross-functional teams and manage stakeholders effectively

Nice to Have

• Experience with real-time streaming pipelines
• Exposure to data governance frameworks and regulatory environments
• Experience supporting large-scale data platform modernisation

For more information you can contact Norean Tan at norean.tan@sanderson-ikas.sg

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

EA Registration No.: R1434118 - Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: 200914065E | EA License No.: 16S8086

Key Responsibilities

Design and maintain interactive dashboards and reports using Tableau or Power BI to monitor KPIs and support operational/business decision-making

Develop automated data pipelines in Python and SQL to extract, clean, and transform large, complex datasets from multiple sources

Partner with business, product, and tech stakeholders to gather requirements, define KPIs, and translate data into clear business recommendations

Perform root cause analysis on data mismatches and production reporting issues, ensuring accuracy, consistency, and reliability

Manage data assets in platforms like Databricks with Unity Catalog, enforcing governance, access control, and compliance

Lead A/B testing and experiment design to optimize campaigns, product features, and user engagement

Investigate market/operational data usage and entitlements to identify cost-saving opportunities and improve visibility

Liaise with external vendors like Bloomberg, Refinitiv to resolve data definitions, usage charges, and data-related queries

Document data processes, reporting logic, and validation rules to ensure operational clarity and continuity

Mentor junior analysts and promote best practices in data visualization, SQL, and Python Required

Skills & Qualifications

4+ years of experience in data analysis, BI, or data analytics roles

Expert proficiency in SQL: MySQL, PostgreSQL for complex queries and schema design

Strong Python skills with Pandas, NumPy for data manipulation and automation

Hands-on experience with Tableau, Power BI, and Advanced Excel

Proven experience building and maintaining data pipelines and automating reporting workflows

Solid background in data mining, transformation, and statistical analysis including A/B testing and hypothesis testing

Experience with cloud/data platforms: Databricks, GCP, AWS, or Informatica

Strong stakeholder management skills with ability to translate business needs into data solutions Experience supporting production reporting systems and resolving data integrity issues

Preferred Qualifications

Domain experience in financial services/market data, healthcare, or gaming

Experience with Unity Catalog, data governance, and vendor data management

POSITION GENERAL DUTIES AND TASKS :

We are seeking apassionate and skilled Data Scientist to design, develop, and deploy AI modelsthat power personalised customer engagement across digital and non-digitalchannels. This role is expected to work with various stakeholders to develop AIsolutions and transform multidimensional data—structured and unstructured—intoinsights and engagement ideas that enhance customer satisfaction and businessperformance.

•Collaborate with cross-functional teams to gather business requirements

•Perform feature engineering using customer, product, digital, and behaviouraldata

•Design and build scalable AI models

•Evaluate AI model performance using technical and business metrics

•Design end-to-end model pipeline and conduct various tests to ensurerobustness of solution

•Prepare model documentations and testing reports

We are looking for people who

•Bachelor’s or Master’s degree in Data Science, Computer Science,Statistics, or related fields.

•3–5 years of experience in a data science or analytics role.

•Strong command of Python (especially for text analytics and datamanipulation).

•Solid experience with SQL for querying large datasets.

•Familiar with machine learning libraries and GenAI.

•Ability to work with various types of data and derive meaningful insights.

•Strong communication skills and stakeholder management experience

.

Strong analytical, problem-solving, and stakeholder management skills.

Experience with SQL and data analysis/reporting tools.

Excellent communication, documentation, and facilitation skills.

Ability to work across cross-functional teams in a fast-paced environment.

Game changer, armed with data.

You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.

What a Data Scientist does in Titansoft

• Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements
• Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives
• Identify, understand and solve business problems based on the company's overall targets and design experiments to answer targeted questions
• Develop and automate reports for analytical purposes
• Support key decision makers to improve products and services

What we are looking for in a Data Scientist

Qualifications

• Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications

Experience

• Experience working with cloud services (e.g. Google Cloud Platform)
• Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
• Experience in measuring cost and production
• Experience in scripting with SQL

Skills

• Knowledge of Statistical model and/or machine learning modelling
• Proficiency in Python (must), SQL or other programming languages
• Strong problem-solving skills
• Data visualization (such as Tableau, Excel, etc)
• Ability to translate analysis results into business recommendations and insights
• Ability to present the insights clearly to technical and non-technical audiences
• Strong written, verbal communication and presentations skills

What makes a (Super!) Data Scientist in Titansoft AKA the "great to haves"

• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation

What everyone gets in Titansoft (psst. We didn't get that Great Place to Work in 2024 for nothing!)

• 18 days of rest and relaxation for each year (P.S. It gets even better over the years!)
• Competitive salaries and bonuses bench-marked against big players in the industry (Yeap, those companies!)
• Flexible working hours (Sleep in a little longer after fixing that pesky bug from last night)
• Comprehensive insurance coverage Wellness fund (Fexibilty to use it for medical, dental, EAP or even attraction parks!)
• Very well-stocked pantry (We've never heard of the term 'Hunger Games', nope)
• Communities of Practice and Workshops catered for your growth and learning
• Substantial subsidies and programs to keep that creative flow while having fun (Health promotion program, annual overseas company outing, an annual dinner that nobody will ever forget, etc.)
• Hardcore work and hardcore fun!

Working at Titansoft will probably be unlike any other careers you have ever had. Discover why you should join us!

We have been alerted that Titansoft's name has been misused in scam calls and emails. We only request personal or bank information after candidates complete our interview process and are formally invited to our office, and all official emails come from "@titansoft.com.sg". If in doubt, contact our hotline to verify and report any suspected scams to the police.

POSITIONGENERAL DUTIES AND TASKS :
· Design, develop, and implement data storesolutions to support operational and business needs.
· Build and maintain robust ETL pipelines usingTalend and implement automated deployment
workflows for these ETL processes with CI/CD tools.· Develop, optimize, and tune Oracle PL/SQL queries,procedures, and packages to ensure high
performance and reliability.
· Ensure data quality, integrity, and securityacross all data platforms.
· Monitor, troubleshoot, and resolve data workflowand performance issues proactively.
· Translate business requirements into effectivetechnical solutions, ensuring alignment
throughout the project lifecycle.
· Prepare and maintain comprehensive documentationfor technical designs, data flows, and
operational procedures.
· Perform thorough testing to guarantee solutionreliability and data integrity.
· Collaborate with project managers, businessanalysts, and cross-functional teams to ensure
solutions meet business goals and stakeholder expectations.
· Support implementation activities and providepost-launch support to ensure smooth operations.
· Conduct system performance tests and implementimprovements as needed.
· Work closely with the delivery team to deliversystems according to specifications, tracking
assigned tasks to meet project schedules and quality standards.

Job Summary:

We are seeking a Data Analyst to support product decision-making through experimentation, data analysis, and reporting. This role will work closely with product and cross-functional teams to drive data-informed improvements and optimize product performance.

Job Responsibilities:

A/B Testing & Experimentation

• Design, execute, and analyze A/B tests to evaluate BT product features and optimizations
• Partner with the BT Product Manager to define success metrics and measurement frameworks
• Document testing methodologies, learnings, and best practices

BAU Data Analysis & Reporting

• Analyze and report on core BT product metrics, including DAU/MAU and app downloads, etc.
• Build dashboards and reports to track product health and performance trends
• Provide regular data updates to support product planning and decision-making

Cross-Team Collaboration

• Support the broader EMTM team in scaling data-driven product iteration across publications
• Translate data into clear, actionable insights for non-technical stakeholders

Job Requirements:

• 1–2 years of experience in a data analyst or similar role
• Strong proficiency in SQL, with hands-on experience in Athena and BigQuery
• Solid understanding of A/B testing methodology and statistical analysis
• Experience with data visualization tools (e.g., Looker, Tableau, Google Data Studio)
• Strong communication skills and ability to present findings clearly
• A collaborative mindset and willingness to learn

Key Responsibilities:

• Collaborate with business stakeholders to gather, analyze, and document requirements
• Translate business needs into functional specifications and support technical design discussions
• Work closely with data engineering and development teams for implementation
• Perform data analysis and validation using SQL queries
• Ensure alignment of deliverables with business objectives and timelines
• Participate in project lifecycle activities including requirement gathering, UAT, and deployment
• Drive problem-solving initiatives with minimal supervision

Required Skills & Qualifications:

• 8–12 years of experience in Business Analysis / Data Analysis within the data domain
• Strong communication and stakeholder management skills
• Proven ability to work independently and in team-oriented environments
• Experience in writing Functional Specifications and supporting Technical Design
• Hands-on experience with SQL (basic to intermediate level)
• Strong analytical and problem-solving mindset

Preferred Skills:

• Experience working with Data Warehouse / Data Lake environments
• Exposure to Finance Risk Modeling or financial domain projects

Responsibilities

• Gather and analyse requirements from business.
• Perform data discovery and analysis from the bank’s data platform to ensure requirements are feasible.
• Conceptualise dashboard design through wireframes and prototypes.
• Build complex visualizations in QlikView and other BI visualisation tools, that will help derive insights for user.
• Apply best practices on user interface/user experience (UI/UX)
• Support the publication of the dashboard in production.
• Conduct trainings and roadshows to promote awareness and usage from target users.
• Assist other data discovery tasks (non-dashboard related) that the team is working on.

Job requirements

• Bachelor’s degree in Business Analytics, Computer Science or equivalent.
• Knowledge in Business Intelligence (BI) tools, Visualization tools, and scripting
• Knowledge in using SQL
• Ability to convert data into meaningful information
• Good problem solving skills
• Good interpersonal, communication and presentation skills
• Effective time and stakeholder management skills

 Thankyou for your interest!

We respect your privacy andall communication will be treated with confidentiality. If you wish to knowmore about this position or explore other roles, please prepare your updatedprofile and get in touch with our consultant at  cristina.malijan@manpower.com.sg

CristinaMalabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement andcommunications with us pursuant to this advertisement will constitute informedconsent to the collection, use and/or disclosure of personal data byManpowerGroup Singapore for the purpose of carrying out its business, incompliance with the relevant provisions of the Personal Data Protection Act2012. To learn more about ManpowerGroup's Global Privacy Policy, please visithttps://www.manpower.com.sg/privacy-policy

Responsibilities

·       Architect and design modern data platforms aligned with industry’s best practices and standards.

·       Develop high-level and low-level technical solution designs for data integration and analytics.

·       Build and optimize database models for efficient data access and storage.

·       Define and implement strategies for data integrity, security, and compliance.

·       Design and implement data quality and governance frameworks.

·       Collaborate with stakeholders, analysts, and engineering teams to deliver scalable data platform roadmaps and solutions.

·       Ensure performance tuning, cost optimization, and adherence to security standards.

·       Mentor technical teams and contribute to best practices documentation.

Skills/Requirement

·       7+ years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Azure data platform covering – ADF, ADLS, Synapse, Microsoft Fabric, Databricks etc.

·       Extensive hands-on experience implementing data ingestion and data processing using Azure services: Data Share, Synapse Analytics, Databricks, Kafka, Nifi, CDC processing, Azure Data Explorer, HDInsight, Data Lake Storage , Snowflake, SQL Database, Cosmos DB, Docker, Azure Functions , Spark, Data Factory, API Management etc.

·       Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Attunity, Golden Gate ,Azure Data Explorer , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc.

·       Design and Implement analytics solutions that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

·       Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

·       Create data tools for analytics and data scientist team members that assist them in building and optimizing products

Interested candidates, who wish to apply for the above position, please send in your resume to: kellyitsg@persolapac.com

PERSOL 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.

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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 PERSOL 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.persolapac.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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