Lead Data Engineer

1 day ago

Central Region, Singapore The Great Eastern Life Assurance Company Limited Full time

We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain robust data pipelines and ETL solutions. This role involves working closely with cross-functional teams to ensure data quality, scalability, and alignment with business and technical requirements.

  • Design, develop, test, and maintain scalable ETL pipelines to meet business, technical, and user requirements.
  • Collect, refine, and integrate new datasets. Maintain comprehensive documentation and data mappings across multiple systems.
  • Create optimized and scalable data models that align with organizational data architecture standards and best practices.
  • Conduct code reviews and perform rigorous testing to ensure high-quality deliverables.
  • Drive continuous improvement in data quality through optimization, testing, and solution design reviews.
  • Ensure all solutions conform to big data architecture guidelines and long-term roadmap.
  • Implement robust monitoring, logging, and alerting systems to ensure pipeline reliability and data accuracy.
  • Apply best practices in data engineering to design and build reliable data marts within the Hadoop ecosystem for planning, reporting, and analytics.
  • Maintain and optimize data pipelines to ensure data accuracy, integrity, and timeliness.
  • Manage code in a centralized repository with clear branching strategies and well-documented commit messages.
  • Coordinate with stakeholders to ensure smooth production deployment and adherence to data governance policies.
  • Proactively identify and implement improvements to data engineering processes and workflows.
  • Architect end-to-end solutions for insurance data modeling in the data warehouse, including data acquisition, contextualization, and integration with business processes.
  • Act as a business process owner for onboarding users and data products onto the data platform and pipelines supporting dashboards and statistical models.
  • Ensure adherence to development standards and perform periodic reviews to maintain pipeline performance and sustainability.
  • Coordinate and conduct testing with stakeholders to ensure effective deployment of data pipelines and dashboards.

  • Monitor data pipelines continuously and collaborate with stakeholders to troubleshoot and optimize performance.

  • Diploma with at least 10 years' working experience, preferably in Life Insurance

  • Proven experience in data engineering, ETL development, and big data technologies
  • A strong team player who is meticulous, detail-oriented, and capable of performing under pressure
  • Proficiency in tools and platforms such as Hadoop, Spark, Hive, and cloud data services (e.g., AWS, Azure, GCP).
  • Possesses strong problem-solving and interpersonal skills.
  • Committed, dependable, and adaptable with the flexibility to support during peak periods and tight deadlines

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