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Data Engineer Lead - Zurich Asuransi Indonesia
Zurich 56 Company LtdDaerah Khusus Ibukota Jakarta, Jawa, Indonesia2 days ago
Job descriptionLeads the development of next-generation market leading analytic techniques to build the data engineering capabilities across the organization. Complete in-depth diagnostics of project needs issues and business drivers and recommend process and system improvement to enhance customer service. Develop propose and lead the implementation of data initiatives to improve processes develop policies and generate innovation to maintain regulatory compliance andor deliver process or product enhancements. Establish maintain and grow strong collaborative relationships with key internal and external partners leveraging relationships to drive ongoing improvements to the organizations data strategy. Design and implement ETL / ELT pipelines using Spark SQL and Python within Databricks Medallion architecture. Develop dimensional data models following star schema methodology with proper fact and dimension table design, SCD implementation, and optimization for analytical workloads. Optimize Spark SQL and DataFrame operations through appropriate partitioning strategies, clustering and join optimizations to maximize performance and minimize costs. Build comprehensive data quality frameworks with automated validation checks, statistical profiling, exception handling, and data reconciliation processes. Establish CI / CD pipelines incorporating version control, automated testing including but not limited to unit test, integration test, smoke test, etc. Implement data governance standards including row-level and column-level security policies for access controls and compliance requirements. Create and maintain technical documentation including ERDs, schema specifications, data lineage diagrams, and metadata repositories. Location(s) : ID - Head Office - MT Haryono
Job Summary
Leads the data engineer team in the development of distinctive analytical and risk insights that deliver improvements in business results through the application of advance analytical techniques to complex data sets.
Job Qualifications
- 5+ years’ experience in Data Engineering with SparkSQL, Python and PySpark for the workflow.
- Prove track record in leading data engineer team.
- Strong proficiency in dimensional modeling and star schema design for analytical workloads.
- Experience implementing automated testing and CI / CD pipelines for data workflows.
- Familiarity with GitHub operations and collaborative development practices.
- Demonstrated ability to optimize engineering workflow jobs for performance and cost efficiency.
- Experience with cloud data services and infrastructure (AWS, Azure, or GCP).
- Proficiency with IDE tools such as Visual Studio Code for efficient development.
- Experience with Databricks platform will be a plus.
Job Accountabilities - Key Accountabilities
Leadership Capabilities
Technical Capabilities
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great! Join us as we constantly explore new ways to protect our customers and the planet.
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Data Engineer Lead • Daerah Khusus Ibukota Jakarta, Jawa, Indonesia
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