Data Quality/ETL Automation Tester(Senior/Lead Engineer)

Epam Systems; Hyderabad, Pune District, Gurugram District; Hybrid; INR 950,000 - 1,550,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

EPAM Systems is seeking a Data Quality Engineer (Automation) to join the data engineering team across multiple Indian cities. The role focuses on ETL automation, data warehouse testing, and cloud data services with hands-on scripting in Python and SQL.

The candidate should fit into a hybrid work model with collaboration in Agile ceremonies. Role requires 3.5+ years in data quality engineering, experience with CI/CD, and familiarity with cloud platforms like Azure/AWS/GCP.

Qualifications

• 3.5+ years of hands-on experience in Data Quality Engineering.
• Strong hands-on experience in ETL automation and DWH/Data Lake testing.
• Proficiency in SQL for data validation and test automation.
• Good knowledge of Python for scripting and framework development.
• Experience with one or more Test Automation Frameworks.
• Knowledge of Cloud Data Services (Azure/AWS/GCP).
• Understanding of CI/CD tools (Jenkins, Git, Azure DevOps).
• Familiarity with Agile/Scrum methodologies and strong English (B2+).

Responsibilities

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

Skills

ETL Testing

Data Validation

SQL Advanced

Python

Pytest/Pandas/PySpark/Unittest

Cloud Platforms

Job description

About EPAM Systems:

EPAM Systems is a leading global digital engineering and consulting company with over 60,000+ employees across 50+ countries. We partner with top enterprises to design, build, and optimize data-driven solutions. Within EPAMs Data & Analytics practice, our focus is on building modern data platforms and models that enable large-scale analytics and AI initiatives.

Exp: 3 to 14 Years_Data Quality Engineer_Chennai Coimbatore Hyderabad Pune Gurgaon Bangalore.

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

Responsibilities

• Design, develop, and execute automated test scripts for validating ETL workflows and data pipelines
• Perform end-to-end data validation, reconciliation, and DWH/DB testing across large datasets
• Collaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality standards are met
• Develop reusable and scalable test automation frameworks using Python and SQL
• Integrate automated tests into CI/CD pipelines to ensure continuous testing and delivery
• Validate data transformation logic and completeness across different cloud platforms (Azure, AWS, GCP)
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story grooming

Requirements

• 3.5+ years of hands-on experience in Data Quality Engineering
• Strong hands-on experience in ETL automation and Data Warehouse/Data Lake testing
• Proficiency in SQL for data validation and test automation
• Good knowledge of Python for scripting and framework development
• Experience with one or more Test Automation Frameworks
• Knowledge of Cloud Data Services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), or GCP (BigQuery)
• Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps)
• Familiarity with Agile/Scrum methodologies with a proven ability to contribute effectively
• English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

• Experience working with data observability or data quality tools (e.g., Great Expectations, Deequ)
• Basic understanding of data governance and metadata management concepts
• Certification in cloud platforms (Azure/AWS/GCP)
• Bigdata testing exp

This role is for Data Quality Engineers or ETL Testers, not for Data Engineers

Interview date and Location: 17th Oct 2026(Saturday), EPAM Hyderabad

Working model: Hybrid-3 days working from office .

Job locations: Chennai, Coimbatore, Bangalore, Gurgaon, Hyderabad, Pune

Key skills: ETL Testing, Data Validation, SQL Advanced, Python, Pytest/Pandas/PySpark/Unittest, Any Cloud platforms.

Nice to have: GX, Soda, Deequ, Collibra, Databricks, CI/CD, Amazon Q, DBT