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EPAM
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Data Quality Engineer

EPAMGurugram, India; Hyderabad, India; Bengaluru, India; Pune, India; Chennai, India; Coimbatore, India
Work model
Office
Experience
4-6 years
Employment
Not specified
Compensation
Not disclosed
Technology signal
16 tags

Technology context

16

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSAzurePythonGCPCloudDevOpsScalabilityJenkinsCI/CDAutomationSQLGitScrumData Quality EngineeringTest Automation Frameworks

Full listing

Role description

We are looking for a Data Quality Engineer to strengthen data reliability through automated testing of ETL/ELT and DWH/DB flows. You will use SQL and Python to validate large datasets, develop test automation frameworks, and connect checks to CI/CD across Azure, AWS, and GCP.

Responsibilities

  • Develop and run automated tests that validate ETL workflows and data pipelines
  • Perform end-to-end reconciliation and DWH/DB testing across high-volume datasets
  • Coordinate with data engineers, analysts, and stakeholders to define test approaches and uphold data quality standards
  • Create scalable, reusable Python and SQL-based test automation frameworks
  • Embed automated test execution into CI/CD pipelines for continuous testing and delivery
  • Verify transformation logic and data completeness across Azure, AWS, and GCP
  • Participate in sprint planning, retrospectives, and story grooming as part of Agile ceremonies

Requirements

  • 4-6 years of relevant experience in ETL automation plus Data Warehouse/Data Lake testing
  • Proficiency in SQL to create automated validations and support data quality testing
  • Working knowledge of Python for scripting and building automation framework components
  • Experience using at least one Test Automation Framework
  • Exposure to cloud data services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery)
  • Understanding of CI/CD practices and tools such as Jenkins, Git, and Azure DevOps
  • Comfort with Agile/Scrum ways of working in delivery teams

Nice to have

  • Hands-on experience with Great Expectations, Deequ, or similar data observability/data quality tools
  • Introductory understanding of data governance and metadata management
  • Relevant cloud certifications (Azure/AWS/GCP)