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Capgemini - BigID Developer - DLP Platform

Capgemini Technology Services India Limited
Multiple Locations
3 - 5 Years

Posted on: 16/09/2025

Job Description

Your Role :

- 35 years of hands-on experience with BigID or similar data discovery/classification tools (e.g., Varonis, Informatica, and MIP).

- Strong understanding of data governance, data privacy, and compliance regulations (GDPR, CCPA, SOX, SEBI etc.).

- Experience working with structured data in RDBMS (Oracle, MS SQL Server, and PostgreSQL) and unstructured data sources (file servers, SharePoint, cloud repositories).

- Proficiency in configuring BigID policies, classifiers, data flows, and discovery and classification operations modules.

- Experience integrating BigID with security tools like Microsoft Information Protection, DLP solutions, or SIEM platforms.

- Familiarity with metadata management, data catalogs, and data lineage concepts

Your Profile :

- Design, implement, and manage data discovery and classification workflows using the BigID platform for both structured (e.g., databases, data warehouses) and unstructured data (e.g., file shares, SharePoint, email).

- Configure and maintain BigID connectors to integrate with enterprise data sources including databases (Oracle, SQL Server, MySQL), cloud storage (AWS S3, Azure Blob), collaboration platforms (O365, Google Drive), and more.

- Define and customize classification policies, sensitivity labels, and data tagging rules to align with organizational data governance and compliance frameworks (e.g., GDPR, CCPA, SEBI, DORA etc.).

- Collaborate with data owners, security teams, and compliance stakeholders to identify sensitive data types (PII, PCI, etc.) and apply appropriate classification and protection strategies.

- Integrate BigID with Microsoft Information Protection (MIP) and other DLP platforms or IRM tools to automate labeling and enforcement policies.

- Monitor discovery scans and classification jobs, troubleshoot issues, and optimize performance.

- Generate and present reports and dashboards to stakeholders, highlighting data classification coverage, risk areas, and remediation plans.


The job is for:

Women candidates preferred
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