Data Quality Engineer
EPAM · Gurgaon
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Employer requisition: bltwggi6sukyrmh5iyh
Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.
Your application evidence checklist
Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.
0 of 2 checks marked. Keep unresolved requirements as questions for the employer.
Collected role description
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
Collected experience requirement
4-6 years