- Solid hands on experience with Databricks administration
- Strong knowledge and hands-on on PySpark
- Strong problem solving and troubleshooting skills
- Excellent communication and stakeholder engagement
- Manage catalogues & schemas: Create, alter, and delete catalogues and schemas; set ownership and default properties across the meta store.
- Access control & governance: Define and manage permissions (GRANT/REVOKE) on catalogues, schemas, tables, views, volumes, and functions
- Data security enforcement: Implement fine grained security using privileges, row filters, column masking, and tag based (ABAC) policies.
- Metadata & data governance: Oversee table definitions, lineage, tags,
classifications, and ensure compliance with governance standards.
- Administrative operations: Troubleshoot access issues, manage object ownership transfers, and support platform standards and best practices.
- Cross environment data copy: Move data securely from Prod to Non Prod using approved, automated pipelines.
- Data masking: Mask or anonymize sensitive fields (PII/PHI/PCI) during or before data copy.
- Deployments: Carryout deployments using CI/CD across various environments
- Data upload: Upload data to DataBricks as well as migrate data from other Databases to it
📌 Databricks admin (Pune)
🏢 Artech Infosystems Private
📍 Pune
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