We are hiring a Middle Data Quality Engineer to ensure dependable data by automating tests for ETL/ELT processes and DWH/DB pipelines. In this role, you will use SQL and Python to check large-scale datasets, extend test automation frameworks, and plug validations into CI/CD for Azure, AWS, and GCP—apply today.

Responsibilities

- Create and run automated tests that confirm ETL workflows and data pipelines behave as expected
- Execute end-to-end reconciliation and DWH/DB testing across large, high-volume datasets
- Coordinate with data engineers, analysts, and stakeholders to agree on test approaches and uphold data quality standards
- Implement reusable and scalable test automation frameworks using Python and SQL
- Embed automated test execution into CI/CD pipelines to enable continuous testing and delivery
- Check transformation logic and data completeness across Azure, AWS, and GCP environments
- Participate in Agile ceremonies such as sprint planning, retrospectives, and story grooming

Requirements





- Relevant experience of 2+ years focused on ETL automation and Data Warehouse/Data Lake testing
- Proven ability with SQL to implement automated validations and enable data quality testing
- Hands-on Python knowledge for scripting and creating parts of an automation framework
- Experience working with at least one Test Automation Framework
- Familiarity with cloud data services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery)
- Working knowledge of CI/CD practices and tools such as Jenkins, Git, and Azure DevOps
- Ability to operate effectively in Agile/Scrum teams and follow iterative delivery practices

Nice to have

- Hands-on work with Excellent Expectations, Deequ, or comparable data observability/data quality tools
- Intro-level knowledge of data governance and metadata management
- Relevant Azure/AWS/GCP cloud certifications

📌 Middle Data Quality Engineer (Hyderabad)
🏢 EPAM Systems
📍 Hyderabad