Collibra DIP SME

Crisil

Maharashtra

On-site

INR 180,000 - 320,000

Full time

14 days+
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Job summary

Crisil is seeking a skilled data governance professional to work with Collibra DIC, DIB, and related integration projects. The role focuses on building governance workflows, metadata ingestion, and automation using Collibra tools to support enterprise data governance.

The candidate should be familiar with REST APIs, JSON, XML, and Azure-based data tooling, with a strong emphasis on data catalogs, lineage, and policy management. Certifications in Collibra are highly valued.

Skills

Collibra DIC
Data Governance workflows
Business Glossary
Data Catalog
Data Lineage
Impact Analysis
Policy & Stewardship
Domains
Communities
Asset types
Relationships
Collibra Operating Model
DQ insights integration
Collibra DIB
REST APIs
JSON
XML
Metadata ingestion
Workflow automation
Azure Data Factory
Azure Data Lake Storage
Azure Synapse Analytics
Python
Pandas
Requests

Tools

REST APIs
JSON
XML

Job description

Core Collibra Skills
  • 1.Hands-on experience with Collibra Data Intelligence Cloud (DIC)
  • 2.Expertise in:
    • 1.Data Governance workflows
    • 2.Business Glossary & Data Catalog
    • 3.Data Lineage & Impact Analysis
    • 4.Policy and stewardship management
  • 3.Configuration of:
    • 1.Domains, communities, asset types, relationships
  • 4.Strong understanding of Collibra Operating Model
  • 5.Integrating DQ insights with Collibra Data Intelligence Cloud (DIC) for governance
Collibra DIB / Integration
  • 1.Experience with Collibra DIB (Integration / Edge / Connect)
  • 2.Building integrations using:
    • 1.REST APIs, JSON, XML
  • 3.Metadata ingestion and synchronization across systems
  • 4.Workflow automation using Collibra tools
Certifications (Highly Valued)
  • 1. Collibra certifications like:
    • 1.Collibra Ranger
    • 2.Collibra Steward
    • 3.Collibra Expert (Architect level)
Good to Have Skills
  • 1.Azure Data Ecosystem
    • 1.Familiarity with:
      • 1.Azure Data Factory (ADF)
      • 2.Azure Data Lake Storage (ADLS)
      • 3.Azure Synapse Analytics
    • 2.Basic understanding of data pipelines and cloud-based data architecture
  • 2.Python
    • 1.Basic scripting for:
      • 1.Data processing and transformation
      • 2.Automation tasks
      • 3.API integrations
    • 2.Exposure to libraries like Pandas and Requests
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