Data Quality Engineer

EPAM Systems, Inc.; Coimbatore District; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Job summary

EPAM Systems, Inc. is seeking a Data Quality Engineer to strengthen data reliability through automated testing of ETL/ELT and DWH/DB flows.

You will use SQL and Python to validate large datasets and connect checks to CI/CD across Azure, AWS, and GCP. Responsibilities include developing scalable test automation frameworks, performing end-to-end reconciliation, coordinating with data engineers and stakeholders, and embedding tests into CI/CD pipelines to enable continuous delivery in a

Qualifications

• 4-6 years of ETL automation and data warehouse testing experience.
• Proficiency in SQL for automated validations and data quality testing.
• Python scripting for automation framework components.
• Experience with CI/CD and cloud data services (Azure, AWS, GCP).

Responsibilities

• Develop and run automated tests for ETL workflows and data pipelines.
• Perform end-to-end reconciliation and DWH/DB testing on large datasets.
• Coordinate with data engineers, analysts, and stakeholders to define test approaches and uphold data quality standards.
• Embed automated test execution into CI/CD pipelines for continuous testing and delivery.
• Verify transformation logic and data completeness across Azure, AWS, and GCP.

Skills

SQL

Python

CI/CD

Agile/Scrum

Data quality testing

Tools

Great Expectations

Deequ

Jenkins

Git

Azure DevOps

BigQuery

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 strengthen data reliability through automated testing of ETL/ELT and DWH/DB flows. You will use SQL and Python to validate large datasets, develop test automation frameworks, and connect checks to CI/CD across Azure, AWS, and GCP.ResponsibilitiesDevelop and run automated tests that validate ETL workflows and data pipelinesPerform end-to-end reconciliation and DWH/DB testing across high-volume datasetsCoordinate with data engineers, analysts, and stakeholders to define test approaches and uphold data quality standardsCreate scalable, reusable Python and SQL-based test automation frameworksEmbed automated test execution into CI/CD pipelines for continuous testing and deliveryVerify transformation logic and data completeness across Azure, AWS, and GCPParticipate in sprint planning, retrospectives, and story grooming as part of Agile ceremoniesRequirements4-6 years of relevant experience in ETL automation plus Data Warehouse/Data Lake testingProficiency in SQL to create automated validations and support data quality testingWorking knowledge of Python for scripting and building automation framework componentsExperience using at least one Test Automation FrameworkExposure to cloud data services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery)Understanding of CI/CD practices and tools such as Jenkins, Git, and Azure DevOpsComfort with Agile/Scrum ways of working in delivery teamsNice to haveHands-on experience with Great Expectations, Deequ, or similar data observability/data quality toolsIntroductory understanding of data governance and metadata managementRelevant cloud certifications (Azure/AWS/GCP)We 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.)