Collibra DIP SME

Crisil; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Crisil seeks a skilled professional with deep Collibra DIC expertise to drive data governance, glossary, catalog, and lineage initiatives. The role involves building integrations via REST APIs and implementing Collibra operating model across domains and asset types.

Knowledge of Azure data tools and Python-based data processing is a plus, with emphasis on automation and metadata synchronization.

Qualifications

• Hands-on Collibra DIC experience and data governance expertise.
• Experience with Collibra DIB and REST API integrations.
• Certifications in Collibra are highly valued.

Skills

Collibra DIC

Data governance workflows

Glossary

Data Catalog

Data lineage

Impact analysis

Policy & stewardship

Collibra domains

Operating model

DQ integration

Collibra DIB

REST APIs

Metadata ingestion

Workflow automation

Collibra Ranger

Collibra Steward

Collibra Expert

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Data pipelines basics

Pandas

Requests

Python

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