Senior Data Engineer

JOB DESCRIPTION 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