Data Quality Engineer

EPAM Systems; Hyderabad; Sur place; INR 1 200 000 - 2 000 000; Plein temps

Avantages offerts par ce poste

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Relocation options

Sponsored tech talks & hackathons

LinkedIn Learning access

Résumé du poste

EPAM Systems, Inc. is seeking a data quality engineer (automation) to join the data engineering team in Hyderabad. The role focuses on ETL automation, end-to-end data validation, and DWH testing across large datasets.

You will design reusable test frameworks using Python and SQL, integrate tests into CI/CD pipelines, and collaborate with data engineers and stakeholders to uphold data quality across Azure, AWS, and GCP platforms.

Qualifications

• 4–6 years of experience in ETL automation and data warehouse testing.
• Proficient in SQL for data validation and test automation.
• Strong Python scripting and framework development.
• Experience with CI/CD tools and practices.
• Exposure to cloud data services (Azure/AWS/GCP).
• Familiarity with Agile/Scrum methodologies.

Responsabilités

• Design, develop, and execute automated test scripts for ETL workflows and data pipelines.
• Perform end-to-end data validation, reconciliation, and DWH/DB testing on large datasets.
• Collaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality.
• Develop reusable and scalable test automation frameworks using Python and SQL.
• Integrate automated tests into CI/CD pipelines for continuous testing and delivery.
• Validate data transformation logic across Azure, AWS, and GCP.

Connaissances

ETL automation

Data warehouse testing

SQL

Python

CI/CD practices

Agile/Scrum

Outils

Jenkins

Git

Azure DevOps

ADF

BigQuery

Redshift

Description du poste

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 seeking a highly skilled and detail-oriented Data Quality Engineer (Automation) to join our data engineering team.The ideal candidate will have a strong background in ETL automation, data warehouse testing, and cloud data services, along with hands-on experience in test automation frameworks and CI/CD practices.ResponsibilitiesDesign, develop, and execute automated test scripts for validating ETL workflows and data pipelinesPerform end-to-end data validation, reconciliation, and DWH/DB testing across large datasetsCollaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality standards are metDevelop reusable and scalable test automation frameworks using Python and SQLIntegrate automated tests into CI/CD pipelines to ensure continuous testing and deliveryValidate data transformation logic and completeness across different cloud platforms (Azure, AWS, GCP)Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story groomingRequirementsExperience: 4-6 YearsStrong hands-on experience in ETL automation and Data Warehouse/Data Lake testingProficient in SQL for data validation and test automationGood knowledge of Python for scripting and framework developmentExperience with one or more Test Automation FrameworksExposure to Cloud Data Services across major platforms: Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), GCP (BigQuery)Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps)Familiarity with Agile/Scrum methodologiesNice to haveExperience working with data observability or data quality tools (e.g., Great Expectations, Deequ)Basic understanding of data governance and metadata management conceptsCertification in cloud platforms (Azure/AWS/GCP) is 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.)