Data Quality Engineering Professional

Epam Systems; Hyderabad, Pune District, Bengaluru; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Epam Systems is seeking a highly skilled Data Quality Engineer (Automation) to join our data engineering team in Hyderabad.

You will design, develop, and execute automated tests for ETL workflows, validate data quality across data warehouses, and build scalable test frameworks in Python.

Strong SQL skills, cloud data services knowledge (Azure, AWS, GCP), and CI/CD experience are required, with collaboration across agile teams to ensure robust data pipelines.

Qualifications

• 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.

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.

Skills

ETL automation

Data Warehouse testing

CI/CD practices

Agile/Scrum

SQL validation

Python scripting

Test frameworks

Cloud data services

English B2

Tools

Jenkins

Git

Azure DevOps

Azure Data Factory (ADF)

AWS Glue

AWS Lambda

Redshift

BigQuery

Job description

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)

Location - Hyderabad, Bangalore, Pune, Chennai, Coimbatore