Description
The Data Engineer builds and supports lakehouse data pipelines, developing ingestion and transformation workflows with Python, SQL, and Spark. The role includes onboarding source systems, implementing data quality and monitoring, scheduling and troubleshooting Databricks Workflows, documenting pipelines, and supporting analytics and reporting teams. It requires at least three years of data engineering or related experience, cloud-platform pipeline experience, and familiarity with Git and collaborative development.
