Description

Key Skills: Collibra, Cloud Data Governance and Catalog, Data quality, Data Governance, Metadata, SQL, Data Analytics

Roles and Responsibilities:

• Design, build, and maintain enterprise-grade data pipelines that support certified data products and meet performance, availability, and operational resilience standards.
• Implement and maintain end-to-end technical data lineage and publish technical metadata to support governed business metadata and impact analysis workflows.
• Build integrations between data products and enterprise data governance platforms (e.g., Collibra) to automate metadata ingestion and lineage association.
• Design and implement automated data observability and reliability reporting, including freshness, volume, anomaly tracking, pipeline health, and SLA indicators.
• Proactively identify and remediate data quality and operational issues, ensuring engineered metadata aligns with enterprise governance and stewardship processes.

Skills Required:

• 5-8 years of experience in data engineering, analytics engineering, or enterprise data platforms.
• Data governance and governance-aware solution design for enterprise data assets.
• Metadata engineering and technical metadata publishing to support governed business metadata.
• Data quality controls and reliability enablement for governed data products.
• Integrations with Collibra and cloud data governance/catalog capabilities to automate lineage and metadata workflows.

Good to Have:

• Data analytics experience and SQL for analysis and validation of governed datasets.

Education: BCA, M.B.A., B.Tech, M. Tech, M.Sc., or MCA (or equivalent degree in Computer Application/Engineering/Science-related branches)

Key Skills

Education

Any Graduate