Senior Data Engineer
Hylant (company site, opens in a new tab)5+ yrsHybridDirect career pageEst. 15–30 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About 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.