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Salary
≈ $16k – $31k per year (Estimated)
Location
In office (Pune, Chennai, Hyderabad, Bengaluru, Delhi)
Seniority
Senior · 6+ years exp

First seen by Alion on Aug 6, 2026.

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SysMind is an IT services and workforce solutions firm headquartered in Princeton, New Jersey, providing application development, quality assurance, data and analytics, cloud, cybersecurity, SAP and AI services alongside permanent placement, executive search, contract staffing and offshore delivery. Founded in 1999 and led by chief executive Kavita Gorty, it is a women-owned company with US offices in Dallas, San Francisco and Raleigh and delivery teams in India serving banking, insurance, healthcare and manufacturing clients. Its India openings, mostly for client projects, cover data engineers, full stack and Java developers, test automation, DevOps, network and database specialists.

Analyst Databricks Administrator (6 - 8 Years)

Locations : Pune | Chennai | Hyderabad | Bangalore | Delhi

Role : Analyst

Primary Skill : Databricks Administration

About the Role :

Are you passionate about building secure, scalable, and well-governed data platforms? We are looking for an experienced Databricks Administrator with strong expertise in PySpark, data governance, and platform administration. In this role, you'll manage enterprise Databricks environments, implement robust security controls, support data migrations, and ensure seamless deployments across multiple environments.

Key Responsibilities :

- Administer and maintain Databricks workspaces, ensuring platform stability and performance.

- Create, modify, and manage catalogs, schemas, and metadata while maintaining proper ownership and configuration standards.

- Implement and manage access permissions across catalogs, schemas, tables, views, functions, and storage volumes using governance best practices.

- Strengthen data security through :

1. Row-level security

2. Column masking

3. Attribute-Based Access Control (ABAC)

4. Fine-grained privilege management

- Maintain metadata quality by managing :

1. Data lineage

2. Business classifications

3. Tags

4. Governance policies

- Investigate and resolve platform administration issues, ownership changes, and user access requests.

- Design and execute secure data movement between Production and Non-Production environments using automated pipelines.

- Perform data masking and anonymization for sensitive information such as PII, PHI, and PCI before data migration.

- Support CI/CD-based deployments across development, testing, and production environments.

- Upload datasets into Databricks and migrate data from external databases while ensuring data integrity and performance.

Required Skills :

- Strong hands-on experience in Databricks Administration

- Excellent proficiency in PySpark

- Good understanding of Unity Catalog, metadata management, and governance principles

- Experience with access control, permissions, and enterprise security implementation

- Knowledge of automated data migration and environment management

- Exposure to CI/CD deployment processes

- Strong analytical, troubleshooting, and problem-solving abilities

- Excellent communication and stakeholder management skills

Nice to Have :

- Experience working with enterprise data governance frameworks

- Knowledge of cloud-based data platforms and modern data engineering practices

- Familiarity with data masking and compliance standards

- Experience supporting large-scale data migration initiatives

Why Join Us?

- Work on enterprise-scale Databricks environments

- Build secure and modern data platforms

- Gain exposure to advanced data governance and cloud technologies

- Collaborate with experienced data engineering teams

- Grow your career with cutting-edge data engineering projects

Skills

Azure Databricks, PySpark, Data Governance, Metadata, Data Lineage, Data Migration, Data Masking

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