About The Role

We are seeking a Senior Data Engineer to design, develop, and deploy enterprise data pipelines and data products using AWS, Databricks, and Medallion Architecture . The ideal candidate will have deep technical expertise in Databricks and AWS and be comfortable working hands-on across the full data engineering lifecycle.

Required Qualifications

Strong hands-on Data Engineering experience .
Expert-level experience with Databricks .
Strong hands-on experience with Databricks Unity Catalog .
Strong experience designing Medallion Architecture (Bronze/Silver/Gold) data pipelines.
Advanced Python/PySpark and SQL skills.
Strong experience with AWS , particularly S3 and AWS Glue .
Hands-on experience with Databricks Asset Bundles (DABs) .
Strong Git experience with GitHub Enterprise and GitHub Actions .
Experience implementing CI/CD for data engineering and Databricks workloads.
Strong understanding of data engineering best practices, data modeling, and pipeline optimization.
Experience working in Agile/Scrum development environments.

Ideal Candidate

The ideal candidate is a senior-level, hands-on Databricks Data Engineer . They should be comfortable writing code, building pipelines, troubleshooting production issues, implementing CI/CD, and working directly in Databricks and AWS on a daily basis