Data Quality Engineer(ETL Automation) PAN India EPAM Locations

Epam Systems; Pune District, Gurugram District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EPAM Systems in India is seeking a Data Quality Engineer (Automation) to join the data engineering team. The role focuses on ETL automation, data warehouse testing, and cloud data services across multiple locations including Pune.

Key duties include designing automated tests for ETL pipelines, validating large datasets, and integrating tests into CI/CD pipelines. The ideal candidate has strong Python/SQL skills and experience with cloud platforms and Agile methodologies.

Qualifications

• 3.5+ years 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 (Azure/AWS/GCP).
• Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps).
• Familiarity with Agile/Scrum methodologies and able to contribute in ceremonies.
• English proficiency at Upper-Intermediate level (B2) or higher.

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.
• 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, or GCP platforms.
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and grooming.

Skills

Advanced SQL

Python

Pandas/PySpark

Cloud platforms

Data quality engineering

Database concepts

DWH fundamentals

Scripting languages

Unit testing

Database testing

Tools

Jenkins

Git

Azure DevOps

Great Expectations

Deequ

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)

During interview, please use headphones(Highly recommended)

Working model: Hybrid-3 days working from office

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

Key skills: Advanced SQL, Python, Pandas/PySpark, Any Cloud platforms, BigData Principles for Data Quality Engineering,Database Concepts, DWH Fundamentals, Scripting Languages, Unit Testing, Database Testing

Regards,

EPAM TA Team