M17 - Data Engineer at FPT Asia Pacific Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, PySpark, Python, Microsoft Azure, Databricks, Data Governance, Metadata Management, Data Cataloging, Stakeholder Management, Data Integration, Data Transformation, Analytical Problem Solving

Industry

IT Services and IT Consulting

Description

Responsibilities Evaluate and coordinate data requests from business users, understanding requirements and recommending suitable datasets based on business objectives Assess data availability and provide clear guidance to help users navigate HPB's data ecosystem Collaborate with requestors, data operations teams, and domain data engineers to ensure timely fulfilment of approved data requests Design and implement data extraction and delivery processes while maintaining data accuracy, security, and governance standards Manage recurring data contributions to government partners, ensuring compliant and timely delivery Ensure all data services adhere to established governance frameworks and access control standards Curate and maintain metadata for HPB's data discovery platform to improve dataset discoverability and usability Work closely with data owners and engineering teams to improve metadata quality and maintain accurate data catalogues Enhance dataset descriptions, classifications, and catalogue information to improve organisational data accessibility Provide Level-1 support through the CDOO service management system, including triaging and user guidance Identify and implement process improvements to enhance service quality, reduce turnaround time, and improve user experience Maintain operational documentation and knowledge repositories to support service continuity and operational excellence Requirements Experience & Education Minimum 2 years of experience in data engineering, data operations, analytics support, data integration, or metadata management Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Analytics, or related discipline from a recognised institution Candidates with relevant professional certifications in data engineering, analytics, or data science, together with relevant experience, may also be considered Technical Skills Hands-on experience with SQL, PySpark, and/or Python for structured datasets and data transformation Familiarity with cloud-based data platforms, preferably Microsoft Azure, including Databricks and enterprise data warehouse environments Understanding of data governance, metadata management, and data catalogue concepts Core Competencies Strong stakeholder management and communication skills Analytical and problem-solving mindset with a service-oriented approach Ability to translate business requirements into practical data solutions Strong attention to detail and commitment to operational excellence Nice to Have Experience with Microsoft Purview and Unity Catalog Professional certifications in cloud, data engineering, data governance, or analytics domains

Responsibilities

The role involves coordinating data requests, designing extraction processes, and maintaining data governance standards. Additionally, the candidate will curate metadata for the data discovery platform and provide Level-1 support for data services.