The posting
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.
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.
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