We are expanding our team with a Middle Data Quality Engineer to improve data reliability using automated tests for ETL/ELT and DWH/DB flows. You will apply SQL and Python to validate large datasets, build scalable test automation frameworks, and wire quality checks into CI/CD across Azure, AWS, and GCP—apply now.

Responsibilities

- Build and execute automated tests to validate ETL workflows and data pipelines

- Perform end-to-end reconciliation and DWH/DB testing on high-volume datasets

- Collaborate with data engineers, analysts, and stakeholders to define test strategies and maintain data quality standards

- Design scalable, reusable Python- and SQL-based test automation frameworks

- Integrate automated test runs into CI/CD pipelines to support continuous testing and delivery

- Validate transformation logic and data completeness across Azure, AWS, and GCP

- Contribute to sprint planning, retrospectives, and story grooming within Agile ceremonies

Requirements





- Hands-on experience of 2+ years in ETL automation plus Data Warehouse/Data Lake testing

- Solid SQL skills to build automated validations and support data quality testing

- Working knowledge of Python for scripting and developing automation framework components

- Practical experience with at least one Test Automation Framework

- Exposure to cloud data services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery)

- Solid understanding of CI/CD practices and tools such as Jenkins, Git, and Azure DevOps

- Comfort working in Agile/Scrum delivery teams and participating in team ceremonies

Nice to have

- Experience with Great Expectations, Deequ, or similar data observability/data quality tools

- Basic understanding of data governance and metadata management

- Cloud certifications in Azure, AWS, and/or GCP

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