- Design, develop and optimise scalable ETL/ELT pipelines using Databricks.
- Develop production-grade data transformations using Python, PySpark and SQL.
- Build Bronze/Silver/Gold data layers using Delta Lake and medallion architecture.
- Implement batch and, where required, streaming ingestion patterns.
- Work with Databricks Workflows and Unity Catalog for orchestration and governance.
- Integrate Databricks with Azure data services including ADLS Gen2 and Synapse.
- Implement data-quality checks, error handling, monitoring and performance optimisation.
- Develop automated deployments using CI/CD and follow software engineering best practices.
- Troubleshoot production data pipelines and ensure reliability and scalability.

Mandatory skills:

- Robust hands-on Databricks, Python/PySpark and SQL.
- Delta Lake and Databricks Workflows.
- ETL/ELT development and performance tuning.
- ADLS Gen2 and Azure data ecosystem.
- Unity Catalog exposure.
- Git and CI/CD experience.
- The existing Allianz-aligned platform JD similarly calls for strong Databricks/PySpark, Delta Lake, Unity Catalog and Synapse capabilities, making these good baseline screening criteria

📌 Data Engineer (Hyderabad)
🏢 Canterr It Services
📍 Hyderabad