Architect and maintain centralized, trusted data assets across Underwriting & New Business, Operations, Claims, and Health, building and orchestrating ETL/ELT pipelines
Job Summary
Architect and maintain centralized, trusted data assets across Underwriting & New Business, Operations, Claims, and Health, building and orchestrating ETL/ELT pipelines.
Introduce and enforce version control, branching strategies, CI/CD pipelines, and code review processes, driving adoption of Databricks, SQL, Python or Spark‑based frameworks.
Lead automation initiatives to retire manual reporting, streamline repetitive tasks, and integrate operational dashboards, developing Power BI or equivalent self-service reports.
Matching Summary
Architect and maintain centralized, trusted data assets across Underwriting & New Business, Operations, Claims, and Health, building and orchestrating ETL/ELT pipelines.
Skills & Requirements
Must-have
Data Engineering & Asset Development
ETL/ELT pipeline orchestration
CI/CD pipelines and code review
Databricks, SQL, Python, Spark
Power BI self-service reports
Cross-functional collaboration
Nice-to-have
Partners for every life
Protectors for every future
Connect, Grow, and Succeed
Embed analytics into BAU workflows
Key Requirements
Strong knowledge of data engineering, SQL, Databricks, pipelines, and cloud platforms
Experience with software development practices (CI/CD, DevOps)
Proficiency in Python, Spark, or equivalent analytics toolsets
Technology-facing manager experience
Demonstrated ability to collaborate across departments