Senior Databricks Engineer
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Job Summary
Owning the end-to-end data lifecycle, the full-time Senior Databricks Engineer will design and implement data solutions on the Databricks platform, utilizing Python, PySpark, and SQL to create scalable data pipelines and support analytics and AI/ML use cases in a remote work environment.
Key responsibilities
- Design, develop, and maintain robust batch and streaming data pipelines for the Databricks lakehouse on Azure
- Automate data ingestion and streamline processes using Azure services and Databricks tools
- Lead design and code reviews, establish engineering standards, and mentor junior data engineers
Required qualifications
- 10+ years of professional experience in data engineering, analytics, or data warehousing
- 5+ years of hands-on experience with Databricks and production workloads
- 5+ years of experience with Python, including PySpark and Spark SQL
- 3+ years of data engineering experience on Microsoft Azure
- Strong experience in designing and developing ETL/ELT pipelines for batch and streaming data
Complete Job Description
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