Role & responsibilities
- Databricks
- PySpark
- Azure Data Factory (ADF)
- Python Scripting
- Ab Initio
- Ab Initio Metadata Hub (MHUB)
- Data Governance
- Data Quality
- Data Lineage
- Data Pipelines

Key Technical Responsibilities
- Design and implement Data Governance frameworks, policies, and stewardship models.
- Establish and maintain effective data quality and governance processes.
- Design, develop, and maintain robust data pipelines.
- Work with Databricks and PySpark for data processing and transformation.
- Develop and maintain data integration pipelines using Azure Data Factory.
- Use Python scripting for data processing and automation.
- Implement and manage data lineage and metadata management solutions.
- Work extensively with Ab Initio Metadata Hub (MHUB) for:
- Metadata management




- Data lineage
- Impact analysis
- Support data discovery, traceability, and governance across enterprise data environments.
- Ensure data assets are properly documented and governed

Data Governance Responsibilities
- Define and implement data governance standards and policies.
- Establish data ownership and stewardship models.
- Improve data quality, consistency, and reliability.
- Maintain data lineage and traceability across systems.
- Perform impact analysis for data and application changes.
- Collaborate with data engineering, architecture, business, and governance teams

📌 Data Governance Consultant (Bengaluru)
🏢 Tekskills
📍 Bengaluru