Job Title : Data Engineer Unity Catalog
Employment Type : Full-Time (Hybrid 2 Days/Week in Office)
Experience Required : 5+ Years
Notice Period : Immediate to 15 Days
Location : Pune/ Bangalore / Hyderabad
About the Role :
We are seeking a highly skilled Data Engineer with strong experience in Unity Catalog and Databricks to join our growing data team. This role is critical for building a unified metadata and governance framework across our enterprise data platform. You will collaborate cross-functionally to enable data discovery, access control, and lineage tracking, empowering teams to build and scale data products with confidence and compliance.
Key Responsibilities :
- Partner with data architects, analysts, and scientists to define and maintain data lineage, ownership, and classification strategies.
- Implement automated data cataloging and metadata ingestion pipelines using PySpark and Databricks workflows.
- Establish and enforce data stewardship, governance, and compliance best practices across all layers of the data stack.
- Monitor, debug, and optimize catalog and metadata system performance for scalability and reliability.
- Provide training and support to data consumers and producers on catalog usage and access patterns.
- Continuously evaluate new capabilities in Databricks Unity Catalog, Delta Lake, and Azure ecosystem to improve data discoverability and trust.
Required Skills and Experience :
- Hands-on experience with Databricks Unity Catalog, including access control, data lineage, and metadata management.
- Proficient in PySpark and SQL for building scalable data pipelines and catalog integration.
- Solid understanding of Azure Data Services (e.g., Azure Data Lake, Azure Data Factory, Synapse, Key Vault).
- Deep knowledge of data governance principles, security, compliance, and privacy standards (GDPR, HIPAA, etc.).
- Strong troubleshooting skills and the ability to optimize performance for large-scale data platforms.
- Excellent communication and collaboration skills across technical and non-technical stakeholders.
Preferred Qualifications :
- Exposure to tools such as Purview, Alation, or Collibra is a plus.
- Experience working in regulated industries (Finance, Healthcare, etc.) is a strong advantage.
Why Join Us?
- Work on cutting-edge data governance and metadata solutions
- Collaborative team culture and growth-focused environment
- Flexible hybrid model with only 2 days per week in the office
- Opportunity to lead strategic data initiatives and own the Unity Catalog platform
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1516050
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