Data Quality Engineer

EPAM Systems; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Job summary

EPAM Systems, Inc. in Pune, India seeks a Data Quality Engineer to design automated tests for ETL workflows and validate data pipelines. It emphasizes data quality across cloud platforms and scalable test automation using Python and SQL.

You will integrate tests into CI/CD, collaborate with data engineers, and contribute to validating large-scale DWH/DB systems on Azure, AWS, and GCP while supporting agile delivery and continuous improvement.

Qualifications

• 4–6 years of data quality engineering experience with ETL automation and DWH/Data Lake testing.
• Strong SQL for data validation, reconciliation and test automation routines.
• Hands-on Python for scripting and framework development.

Responsibilities

• Design automated test scripts to validate ETL workflows and data pipeline behavior.
• Execute end-to-end data validation, reconciliation, and DWH/DB testing across large datasets.
• Build reusable, scalable test automation frameworks using Python and SQL.
• Integrate automated tests into CI/CD pipelines to enable continuous testing and delivery.
• Validate data transformation logic and pipeline quality across Azure, AWS, and GCP.
• Collaborate with data engineers, analysts, and stakeholders to align test strategies with data quality standards.

Skills

SQL

Python

CI/CD

Agile/Scrum

Tools

Jenkins

Git

Azure DevOps

BigQuery

Redshift

Glue

Lambda

ADF

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 to build ETL/ELT solutions and DWH/DB systems at scale. You will create Python- and SQL-based test automation, validate DWH/Data Lake pipelines, and embed checks into CI/CD workflows across cloud data services.ResponsibilitiesDesign automated test scripts to validate ETL workflows and data pipeline behaviorExecute end-to-end data validation, reconciliation, and DWH/DB testing across large datasetsCollaborate with data engineers, analysts, and stakeholders to align test strategies with data quality standardsBuild reusable, scalable test automation frameworks using Python and SQLIntegrate automated tests into CI/CD pipelines to enable continuous testing and deliveryValidate data transformation logic and completeness across Azure, AWS, and GCP platformsContribute to Agile ceremonies, including sprint planning, retrospectives, and story groomingRequirementsProfessional experience of 4-6 years in data quality engineering, including ETL automation and Data Warehouse/Data Lake testingStrong command of SQL for data validation, reconciliation, and test automation routinesHands-on knowledge of Python for scripting, utilities, and framework developmentPractical experience with one or more Test Automation FrameworksWorking exposure to Cloud Data Services across Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery)Solid understanding of CI/CD tools and practices, including Jenkins, Git, and Azure DevOpsFamiliarity with Agile/Scrum methodologies and iterative deliveryNice to haveExperience with data observability or data quality tools such as Great Expectations or DeequBasic knowledge of data governance and metadata management conceptsCloud certifications in Azure, AWS, or GCPWe 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.)