Role Overview10+ years experience in data engineering, data platforms & analytics, and 10+ years of consulting experience. Completed Data Engineering Professional certification & required classes. Minimum 6-8+ projects delivered with hands-on experience in development on Databricks.
What You Will Do
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one. Deep experience with distributed computing with Spark with knowledge of Spark runtime internals. Familiarity with CI/CD for production deployments. Working knowledge of MLOps.
Why It Might Be a Fit
Current knowledge across the breadth of Databricks product and platform features. Familiarity with optimizations for performance and scalability.
Requirements
- 10+ years experience in data engineering, data platforms & analytics
- 10+ years of consulting experience
- Completed Data Engineering Professional certification & required classes
- Minimum 6-8+ projects delivered with hands-on experience in development on Databricks
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one
- Deep experience with distributed computing with Spark with knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
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