Data Engineer - SG
Posted Updated
Summary
Data Engineer in Singapore who leads the design and end-to-end development of offline data warehouses — layered modeling, pipeline development, and governance — serving internal business units, while collaborating with a China-based team on regional data privacy compliance (PDPA/GDPR). Core stack: Hadoop, Spark, Iceberg, Flink, with Java, Scala, and/or Python.
Data Engineer - SG
Singapore
Responsibilities
- 1. Lead the design and end-to-end development of offline data warehouses, encompassing layered data modeling, pipeline development, and data governance practices to guarantee data accuracy, consistency, and long-term operational stability.
- 2. Develop in-depth domain expertise across business verticals and design domain-aligned data warehouse solutions to fulfill varied data requirements from all internal business units.
- 3. Partner closely with the China-based data engineering team to address regional data privacy compliance requirements, task deployment, and day-to-day operational maintenance. All cross-border data collaboration shall fully comply with applicable local and global data privacy regulations, including Singapore's Personal Data Protection Act (PDPA) and the GDPR where applicable.
Qualifications
- 1. Proven extensive hands-on experience in data warehouse modeling and development, with solid proficiency in both offline and real-time data processing. Prior experience building large-scale, high-throughput data processing systems is highly preferred.
- 2. Expertise in big data ecosystems including Hadoop, Spark, Iceberg, Flink and related frameworks; practical software development experience with Java, Scala and/or Python. Capable of integrating diverse technology stacks to build robust, business-centric data solutions.
- 3. Keen data intuition paired with strong business acumen: able to translate business requirements into scalable data architecture, and design well-structured data warehouse models focused on stability, extensibility and long-term maintainability.
- 4. Exceptional logical reasoning skills; adept at prioritizing multiple concurrent tasks within a fast-paced tech environment. Highly self-motivated with strong proactive ownership and accountability.
- 5. Working knowledge and practical experience adhering to Singapore data privacy regulatory frameworks, notably the Personal Data Protection Act (PDPA), as well as cross-border data transfer requirements; familiarity with global frameworks such as the GDPR where applicable.