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Job Description
Structured overview of role & requirementsAbout This Role
Build, integrate, and operationalize enterprise data architecture on Databricks and Azure platform.
Design, develop, and maintain scalable data pipelines, transformation logic, and analytics-ready datasets using PySpark, SQL, Azure Databricks, and Azure Data Factory.
Implement and enforce data governance, security policies; monitor, tune, and optimize data platform performance and CI/CD pipelines with Azure DevOps.
Minimum Requirements
5–7+ years of Data Engineering experience including production-grade pipeline development.
Hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Unity Catalog, PySpark, and SQL.
Bachelor's degree in CS, Engineering, Data Science or equivalent practical experience (desired).
Must be legally authorized to work in the United States; position is fully remote within US with possible periodic in-person meetings.
Ideal Candidate Profile
Experienced with end-to-end data platform ownership including data quality, validation, security, and CI/CD process.
Capable of collaborating cross-functionally between technical and non-technical stakeholders in an agile delivery environment.
Exposure to insurance domain data and familiarity with business intelligence tools (Power BI) or AI/automation in data workflows is a plus.