Experience : 6 to 8
Solid hands on experience with Databricks administration
Strong knowledge and hands-on on PySpark
Robust 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 setting 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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