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Remote role with common data engineer title but niche Databricks specialization gives moderate applicant competition.
Databricks/AWS data engineering is transferable, but Databricks specialization raises domain sensitivity.
Numerous mandatory Databricks, Unity Catalog, AWS and CI/CD skills make shortlisting highly strict.
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Design, develop, and deploy enterprise data pipelines and data products using AWS, Databricks, and Medallion Architecture.
Own the full data engineering lifecycle with hands-on work including coding, pipeline building, and troubleshooting production issues.
Implement CI/CD processes for Databricks workloads and data engineering pipelines in an Agile/Scrum environment.
Strong hands-on experience in Data Engineering with expert-level skills in Databricks and Databricks Unity Catalog.
Proficient in Medallion Architecture (Bronze/Silver/Gold) pipeline design, Python/PySpark, SQL, AWS (especially S3 and AWS Glue).
Experience with Databricks Asset Bundles (DABs), GitHub Enterprise, GitHub Actions, and implementing CI/CD workflows.
Work Experience Required: Not explicitly mentioned in the JD.
Senior-level individual contributor comfortable with hands-on coding and building complex data pipelines in Databricks and AWS.
Experienced in troubleshooting production issues and optimizing data pipelines using best practices and data modeling.
Skilled in CI/CD implementation within an Agile/Scrum development setting, and adept at using GitHub for version control and automation.