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Collibra workflow Data Engineer

Roles & Responsibilities

  • Experience designing and implementing business process workflows using Collibra Workflow Designer
  • Strong understanding of Collibra Data Governance Center (DGC) and its modules (Data Catalog, Business Glossary, Policy Manager)
  • Proficiency with Collibra REST APIs for workflow automation, data exchange, and integrations with other tools
  • Experience with Groovy/Java for custom Collibra workflows and Python/SQL for data validation and automation (ETL familiarity)

Requirements:

  • Design and implement business process workflows using Collibra Workflow Designer and integrate with data sources
  • Leverage Collibra DGC modules (Data Catalog, Business Glossary, Policy Manager) to improve data visibility and governance
  • Implement metadata harvesting and data lineage tracking; assess downstream/upstream data impacts
  • Automate workflows and data exchanges via Collibra REST APIs and develop custom integrations; configure Data Quality Observability and DQ workflows

Job description

Collibra Workflow Data Engineer
Experience- 4+

Remote

  • Experience in designing and implementing business process workflows using Collibra Workflow Designer.
  • Understanding of Collibra Data Governance Center (DGC) and its modules, including Data Catalog, Business Glossary, and Policy Manager.
  • Experience in metadata harvesting, lineage tracking, and governance to improve data visibility.
  • Proficiency in using Collibra REST APIs for workflow automation, data exchange, and custom integrations with other tools.
  • Familiarity with Collibra Data Quality & Observability, setting up data quality rules and configuring DQ workflows.
  • Familiarity with Groovy & Java for developing custom workflows and scripts within Collibra.
  • Ability to write Python & SQL for data validation, integration scripts, and automation.
  • Understanding of ETL processes and integrating Collibra with cloud/on-prem databases.
  • Familiarity with data governance frameworks (e.g., GDPR, CCPA, HIPAA) and best practices.
  • Experience in managing technical and business metadata effectively.
    Ability to track data lineage and assess downstream/upstream data impacts.

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