EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Data Quality Engineer focused on ETL/ELT testing and DWH/DB quality across cloud platforms. You will craft Python- and SQL-driven automation, integrate tests with CI/CD, and partner with stakeholders to keep pipelines accurate.

Responsibilities

- Implement automated test scripts to validate ETL workflows and end-to-end data pipelines
- Conduct full data validation and reconciliation, including DWH/DB testing on large datasets
- Partner with data engineers, analysts, and stakeholders to define test strategy and meet data quality standards
- Develop reusable, scalable test automation frameworks using Python and SQL
- Connect automated tests into CI/CD pipelines to support continuous testing and delivery
- Assess data transformation logic and completeness across Azure, AWS, and GCP
- Support Agile ceremonies by contributing to planning, retrospectives, and story grooming

Requirements





- 4-6 years of professional experience in ETL automation and testing for Data Warehouse/Data Lake environments
- Strong SQL skills for data validation, reconciliation, and automating quality checks
- Hands-on Python ability for scripting and developing automation frameworks
- Experience with one or more Test Automation Frameworks in a delivery setting
- Exposure to Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery) cloud data services
- Working knowledge of CI/CD tooling and practices, including Jenkins, Git, and Azure DevOps
- Familiarity with Agile/Scrum processes and team rituals

Nice to have

- Experience using data quality or observability tooling such as Great Expectations or Deequ
- Basic grasp of data governance and metadata management principles
- Cloud platform certifications in Azure, AWS, or GCP are a plus

We offer

- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Prospect to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits

- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

📌 Data Quality Engineer (Pune)
🏢 EPAM Systems
📍 Pune