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Data Quality Engineer

Office in India: Gurugram, & 5 others
Data Quality Engineering& 5 others
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We are looking for a Data Quality Engineer to build ETL/ELT solutions and DWH/DB systems at scale. You will create Python- and SQL-based test automation, validate DWH/Data Lake pipelines, and embed checks into CI/CD workflows across cloud data services.

Responsibilities
  • Design automated test scripts to validate ETL workflows and data pipeline behavior
  • Execute end-to-end data validation, reconciliation, and DWH/DB testing across large datasets
  • Collaborate with data engineers, analysts, and stakeholders to align test strategies with data quality standards
  • Build reusable, scalable test automation frameworks using Python and SQL
  • Integrate automated tests into CI/CD pipelines to enable continuous testing and delivery
  • Validate data transformation logic and completeness across Azure, AWS, and GCP platforms
  • Contribute to Agile ceremonies, including sprint planning, retrospectives, and story grooming
Requirements
  • Professional experience of 4-6 years in data quality engineering, including ETL automation and Data Warehouse/Data Lake testing
  • Strong command of SQL for data validation, reconciliation, and test automation routines
  • Hands-on knowledge of Python for scripting, utilities, and framework development
  • Practical experience with one or more Test Automation Frameworks
  • Working exposure to Cloud Data Services across Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery)
  • Solid understanding of CI/CD tools and practices, including Jenkins, Git, and Azure DevOps
  • Familiarity with Agile/Scrum methodologies and iterative delivery
Nice to have
  • Experience with data observability or data quality tools such as Great Expectations or Deequ
  • Basic knowledge of data governance and metadata management concepts
  • Cloud certifications in Azure, AWS, or GCP