Senior Data Engineer (Yishun)

Department: Digital Transformation Innovator

Report to: Manager

Functional Relationships with:

Business Engineer, Sales & Marketing, Production/Manufacturing, Logistics, Finance, HR, Legal, Procurement, etc

POSITION PROFILE:

Based in: Yishun

The successful candidate will:

Independently manage and utilize data across the HR Data Warehouse and ASEAN Datawarehouse within the assigned area, with primary focus on HR, DCM (Demand Chain Management), and SCM (Supply Chain Management) data. Support divisions and affiliated companies in promoting data utilization to drive business value and impact. Collaboration with the headquarters is essential to understanding complex data domains and ensure alignment with global standards. Maintain data governance, documentation, and data catalog to uphold data quality and accessibility

Key Duties & Responsibilities:

Data Management & Engineering

• Develop, maintain, and optimize data pipelines using AWS services and Snowflake
• Manage data ingestion, transformation, and integration of HR, DCM, and SCM data, ensuring stable and efficient operations
• Monitor and ensure data quality, accuracy, and reliability across warehouse environments

Data Utilization & Business Support

• Collaborate with business stakeholders to gather and translate data requirements into technical solutions
• Propose and implement improvements to reporting, analytics, and data services that support data-driven decision making
• Promote data utilization best practices across MES and affiliates, providing user support and training as needed

Collaboration & Coordination

• Work closely with headquarters teams to understand and align on DCM and SCM data models, standards, and technical requirements
• Coordinate with internal departments including HR, Sales & Marketing, and Production to deliver integrated data solutions
• Act as the main person in charge for assigned data engineering work or projects, independently planning and driving execution while seeking support for non-standard or cross-functional decisions when needed
• Provide basic technical guidance, knowledge sharing, and support to junior team members

Data Governance & Documentation

• Ensure compliance with data governance, security, and privacy requirements, and proactively address gaps identified
• Maintain clear and up-to-date documentation of data pipelines, data models, system architecture, and operational procedures
• Manage and improve the data catalog and metadata to facilitate data discovery, accessibility, and appropriate usage

Ability / Competency Required:

• Practical hands-on knowledge of AWS services (e.g., S3, Glue, Lambda) and Snowflake data warehousing, or related field
• Ability to proactively identify improvement opportunities, analyze root causes, propose solutions, and drive agreed actions through completion within the assigned area
• Proficiency in SQL, data pipeline concepts, data modeling, monitoring, and root-cause troubleshooting
• Strong communication and collaboration skills, with the ability to coordinate stakeholders within the assigned area and provide basic guidance to junior members