About this 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