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About the role
Company: A Large Global Organization 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). Company: A Large Global Organization 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).
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