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
