Senior Data Engineer (6 months contract)

Location: Paya Lebar / Punggol Digital District / Mapletree Business City Working Hours: Office Hours 6 Months Contract Job Description: • Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements. • Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes. • Translate business data requirements into technical specifications and scalable solutions. • Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources. • Design and implement secure, cloud-based data infrastructure and access mechanisms. • Monitor and optimize ETL systems and databases for performance, reliability, and scalability. • Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio. • Collaborate with data stewards to enforce data governance, quality, and security policies. • Guide agencies through greenfield and brownfield implementations, from problem definition to solution design. • Develop standardized approaches for assessments, discovery, and solutioning grounded in best practices. • Champion engineering excellence and influence adoption of modern data and infrastructure practices. Requirements: • Bachelor’s degree in computer science, Software Engineering, Information Technology, or related disciplines. • 5-10years of experience in data engineering, cloud infrastructure, or platform engineering. • Deep understanding of data system design, data structures, algorithms, and data architecture modelling. • Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop). • Proficiency in Python and SQL. • Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform). • Familiarity with CI/CD pipelines and infrastructure-as-code practices. • Experience with Databricks / Snowflake / Denodo and implementing batch/real-time data pipelines. • Strong knowledge of data governance, security, and privacy (especially in public sector contexts). • Exceptional communication and stakeholder management skills. • Proven ability to mentor and develop future technical leaders. EA License No.: 96C4864 Reg No.: R25128798 HUANG QIMENG