Data Quality Engineer

EPAM Systems; Bengaluru; On-site; INR 1,600,000 - 2,600,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

LinkedIn Learning access

Hackathons sponsored

Job summary

EPAM Systems, Inc. is seeking a Data Quality Engineer focused on ETL/ELT testing and DWH/DB quality across cloud platforms in Bengaluru.

You will craft Python- and SQL-driven automation, integrate tests with CI/CD, and collaborate with stakeholders to ensure data pipelines stay accurate. Responsibilities include validating end-to-end data flows across Azure, AWS, and GCP, developing reusable automation frameworks, and contributing to Agile ceremonies.

Qualifications

• 4-6 years of 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.

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.

Skills

ETL automation

SQL data validation

Python scripting

CI/CD integration

Agile/Scrum

Tools

Jenkins

Git

Azure DevOps

Job description

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.ResponsibilitiesImplement automated test scripts to validate ETL workflows and end-to-end data pipelinesConduct full data validation and reconciliation, including DWH/DB testing on large datasetsPartner with data engineers, analysts, and stakeholders to define test strategy and meet data quality standardsDevelop reusable, scalable test automation frameworks using Python and SQLConnect automated tests into CI/CD pipelines to support continuous testing and deliveryAssess data transformation logic and completeness across Azure, AWS, and GCPSupport Agile ceremonies by contributing to planning, retrospectives, and story groomingRequirements4-6 years of professional experience in ETL automation and testing for Data Warehouse/Data Lake environmentsStrong SQL skills for data validation, reconciliation, and automating quality checksHands-on Python ability for scripting and developing automation frameworksExperience with one or more Test Automation Frameworks in a delivery settingExposure to Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery) cloud data servicesWorking knowledge of CI/CD tooling and practices, including Jenkins, Git, and Azure DevOpsFamiliarity with Agile/Scrum processes and team ritualsNice to haveExperience using data quality or observability tooling such as Great Expectations or DeequBasic grasp of data governance and metadata management principlesCloud platform certifications in Azure, AWS, or GCP are a plusWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)