Senior Data Quality Engineering Professional

Epam Systems; Hyderabad, Pune 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 our data engineering team, focusing on ETL automation, data warehouse testing, and cloud data services.

The role involves designing and executing automated tests for ETL workflows, validating data across Azure, AWS, and GCP, and integrating tests into CI/CD. Collaboration with data engineers and stakeholders is essential.

Qualifications

• Hands-on ETL automation and data warehouse testing experience.
• SQL-based data validation and integrity checks.
• Python scripting for test automation and framework development.
• Familiarity with one or more Test Automation Frameworks.
• Exposure to Cloud Data Services across major platforms (Azure/AWS/GCP).
• Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps).

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 cloud platforms (Azure, AWS, GCP)
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story grooming

Skills

ETL automation

SQL validation

Python scripting

CI/CD

Agile Scrum

Data quality testing

Tools

Test frameworks

Azure DevOps

Jenkins

Git

Azure

AWS

GCP

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

• Experience: 5.5 + Years
• Strong hands‑on experience in ETL automation and Data Warehouse/Data Lake testing
• Proficient 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
• Exposure 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 methodologies

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) is a plus

Location - Hyderabad, Bangalore, Pune, Chennai, Coimbatore