Description
Electric Mind is hiring a Data Engineer to build and maintain Databricks data pipelines for a financial services and wealth management platform. The role involves writing PySpark transforms, using Lakeflow declarative pipelines and CDC/SCD patterns, validating data in Unity Catalog, debugging pipeline failures, maintaining utility scripts, and writing unit and integration tests. Candidates should have Python fundamentals, Spark or SQL exposure, basic Git skills, and methodical debugging ability; Databricks, Delta Lake, Azure, Kafka, CI/CD, and financial-services experience are preferred. The role is available for both permanent and contract engagement.
