Lead Data Quality Engineer

EPAM Systems is seeking a skilled Lead Data Quality Engineer to support key engineering streams. The role involves collaborating with various engineering teams to design, build, and maintain automated testing solutions for data pipelines and APIs in a modern Azure-based ecosystem.

Responsibilities:

• Design, build, and maintain automated testing solutions across data pipelines, APIs, and platform components
• Test data quality, data transformations, and pipeline outputs using SQL and/or Python
• Maintain and troubleshoot data pipelines to ensure reliability and performance
• Monitor, log, and diagnose pipeline failures to support timely resolution
• Collaborate with Data Engineers, Platform Engineers, and DevOps teams on testing strategies and solutions
• Implement CI/CD pipelines to support automated testing processes
• Apply automated testing approaches across data pipelines, APIs, and platform components
• Manage version control workflows to support collaborative development

Requirements:

• 5+ years of experience as a QA Engineer / Test Automation Engineer in Data Engineering or Data Platform environments
• Proficiency in Azure cloud services
• Experience with Azure Databricks, Spark/PySpark, or similar big data platforms
• Understanding of data pipelines, ETL/ELT processes, and data pipeline maintenance
• Skills in SQL and/or Python for testing data quality, transformations, and pipeline outputs
• Experience with CI/CD pipelines, preferably using Azure DevOps, GitHub Actions, or similar tools
• Knowledge of automated testing approaches for data pipelines, APIs, and platform components
• Familiarity with version control systems such as GitHub
• Understanding of monitoring, logging, and troubleshooting pipeline failures
• Capability to work closely with Data Engineers, Platform Engineers, and DevOps teams
• English proficiency at B2 level or higher
• Experience with Delta Lake, Azure Data Factory, ADLS, Synapse, or Event Hub
• Knowledge of infrastructure as code tools such as Terraform or ARM/Bicep
• Experience with data quality tools/frameworks
• Understanding of Docker, Kubernetes, or containerized environments
• Experience in Agile/Scrum teams