Hybrid Senior Data Engineer

Posted 21 hours ago

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About the role

  • Configure, administer, and optimize Informatica Data Quality (IDQ), Informatica Axon/EDC, and Unity Catalog for data governance and metadata management.
  • Define and implement data quality rules and checks across platforms such as Databricks, BigQuery, Informatica, and DBT.
  • Develop profiling, validation, and monitoring frameworks to continuously measure data quality KPIs (completeness, accuracy, timeliness, uniqueness, etc.).
  • Collaborate with data stewards and business teams to formalize data ownership, glossaries, and stewardship workflows.
  • Establish lineage and impact analysis across pipelines using cataloging tools (Informatica EDC/Unity Catalog/DataHub/etc.).
  • Integrate data quality checks into CI/CD pipelines to ensure pre-deployment validations.
  • Work closely with platform, MDM, and security teams to ensure compliance with enterprise data governance standards and regulatory policies.
  • Support MDM-related governance efforts by coordinating master data definitions, hierarchies, and golden records.

Requirements

  • 3–6 years of experience in data engineering, governance, or data quality roles.
  • Hands-on experience with: Informatica Data Quality (IDQ) or Axon/EDC Unity Catalog (Databricks) – configuring access control, lineage, metadata
  • Strong understanding of data stewardship principles, metadata management, and data lifecycle policies.
  • Experience building data quality dashboards, alerts, and monitoring rules.
  • Familiarity with data catalogs, business glossaries, and data domain modeling.

Benefits

  • amples opportunities to learn
  • grow and interact with colleagues from varied experience and backgrounds around the globe.

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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