Tcs is hiring For Databricks Admin For Chennai Location.

Tata Consultancy Services; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in Chennai seeks a Databricks Administrator with 6-10 years of experience to manage data catalogues, schemas and governance across the platform. You will ensure secure access, implement ABAC-based policies, and oversee metadata and data lineage within CI/CD deployments.

Proficiency in PySpark and Databricks administration is essential, along with strong communication and stakeholder engagement skills to coordinate across environments and teams.

Qualifications

• Strong hands-on experience with Databricks administration.
• Proficiency in PySpark and big data tooling.
• Ability to define access controls and governance for data assets.

Responsibilities

• Manage catalogues and schemas: create, alter, delete; set ownership and defaults.
• Define and manage permissions on catalogues, schemas, tables, views, and functions.
• Enforce data security with privileges, row filters, column masking and ABAC policies.

Skills

Databricks administration

PySpark

Access control & governance

Data security & ABAC

Tools

AWS S3

Job description

Role-Databricks Admin.

Experience-6 to 10 yrs.

Location- Chennai.

Desired Competencies (Technical/Behavioral Competency)

Must-Have-

• Strong handson experience with Databricks administration
• Strong knowledge and hands-on on PySpark

Good-to-Have -

• Strong problemsolving and troubleshooting skills
• Excellent communication and stakeholder engagement
• AWS knowledge (S3 bucket)

Responsibility of / Expectations from the Role

1. Manage catalogues & schemas: Create, alter, and delete catalogues and schemas; set ownership and default properties across the meta store.
2. Access control & governance: Define and manage permissions (GRANT/REVOKE) on catalogues, schemas, tables, views, volumes, and functions
3. Data security enforcement: Implement finegrained security using privileges, row filters, column masking, and tagbased (ABAC) policies.
4. Metadata & data governance: Oversee table definitions, lineage, tags, classifications, and ensure compliance with governance standards.
5. Administrative operations: Troubleshoot access issues, manage object ownership transfers, and support platform standards and best practices.
6. Crossenvironment data copy: Move data securely fromProd to NonProdusing approved, automated pipelines.
7. Data masking: Mask or anonymize sensitive fields (PII/PHI/PCI) during or before data copy.
8. Deployments: Carryout deployments using CI/CD across various environments
9. Data upload: Upload data to DataBricks as well as migrate data from other Databases to it