Databricks Engineer
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Job Summary
Building and optimizing production pipelines on the Databricks Lakehouse, the full-time Databricks Engineer will work remotely, collaborating with customers and Databricks' field teams while managing data ingestion, transformation, and deployment processes.
Key responsibilities
- Build and maintain batch and streaming ETL pipelines using PySpark, SQL, and Delta Lake on Databricks
- Implement Medallion architecture layers and manage data resources on AWS, Azure, or GCP
- Troubleshoot pipeline failures and data quality issues, including in production
Required qualifications
- 8+ years in data engineering/architecture or analytics platform development
- Demonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms
- Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform
- Strong proficiency in Python and SQL; working knowledge of Apache Spark
- Experience with data modeling across dimensional, normalized, and Lakehouse patterns
Complete Job Description
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