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Consultant – PySpark, Databricks Developer, Intermediate – Senior
Posted 1 hour ago
About the role
- PySpark/Databricks developer building and maintaining wealth-management data pipelines at Electric Mind. Developing transforms, debugging data quality issues, and supporting Databricks environments.
Responsibilities
- Build and maintain Databricks data pipelines for a financial services/wealth management data platform
- Write and maintain hand-written PySpark transforms for silver- and gold-layer customer, account, and transaction tables
- Work with Lakeflow Declarative Pipelines and Auto CDC/SCD Type 2 patterns
- Query and validate data in Unity Catalog across dev/qa/uat using SQL warehouses
- Debug failed pipeline runs by reading event logs, tracing bad records, and fixing schema drift or data quality issues
- Maintain reference/lookup tables and PowerShell/Python utility scripts
- Write and update unit and integration tests
- Participate in GitLab code reviews using feature branches and merge requests
- Keep technical documentation current
- Work alongside a senior engineer and help maintain healthy development, QA, and UAT environments
- In the first 90 days, independently handle small transform bugs or enhancements, operational scripts, pipeline diagnosis, and begin taking ownership of Databricks environments and new transforms
Requirements
- Comfortable writing clean, readable Python code; understands functions, modules, and basic OOP
- Databricks knowledge
- Some exposure to Apache Spark/PySpark, or strong SQL skills plus willingness to learn Spark quickly
- Working knowledge of SQL, including joins, aggregations, and window functions
- Basic Git workflow: branches, commits, and pull/merge requests
- Comfortable reading others' code and stack traces and debugging methodically
- Direct Databricks experience, Delta Lake, medallion architecture, CDC/SCD concepts, Azure, Kafka, CI/CD, and financial services experience are nice-to-have
- Must be able to learn quickly, ask good questions, and write clean code
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