Databricks Data Engineer
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Job Summary
To support the Retail Spine initiative, the contract Databricks Data Engineer will work remotely during EST hours to design, build, and optimize scalable data solutions using Databricks and Azure, focusing on developing new pipelines and enhancing existing data workflows.
Key Responsibilities
- Design, build, and optimize end-to-end ETL/ELT pipelines using Databricks and Apache Spark (PySpark)
- Develop and maintain scalable data solutions on Microsoft Azure, leveraging Databricks, Delta Lake, and Kafka streaming
- Build robust pipelines with Change Data Capture (CDC) to support incremental data processing and real-time data needs
Required Qualifications
- Extensive hands-on experience with Databricks, with the ability to contribute from day one
- Proven experience building end-to-end data engineering pipelines with CDC capabilities
- Strong proficiency in PySpark and SQL; Python experience is a plus
- Experience working in Microsoft Azure cloud environments
Complete Job Description
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