Data QC Engineer

This role supports a large-scale data platform modernization initiative for a leading energy company focused on renewable energy and nuclear operations. The position involves quality assurance activities across complex data migration and transformation processes in a regulated environment, validating modern data solutions built on Databricks and Delta Lake.

• 4+ years of experience in software testing, preferably in data engineering, ETL, or data migration projects
• Strong experience with SQL, data validation, and source-to-target reconciliation
• Hands-on experience testing ETL pipelines and data transformations
• Experience with Python for test automation
• Familiarity with QMetry or similar test management tools
• Understanding of Databricks and layered data architectures (Bronze, Silver, Gold)
• Experience validating Power BI or other BI reporting solutions
• Familiarity with cloud data platforms, preferably AWS
• Strong analytical and problem-solving skills with attention to detail
• Good communication skills and ability to work in Agile, cross-functional teams
• Upper-Intermediate or higher level of English

• Perform data migration testing, including source-to-target reconciliation and ETL validation
• Validate data accuracy, completeness, and consistency across different stages of data processing
• Develop, execute, and maintain manual and automated test cases using Python and QMetry (or similar tools)
• Validate data transformations across the Bronze, Silver, and Gold layers of the Medallion Architecture
• Test ETL pipelines and data workflows within Databricks environments
• Identify, investigate, and document data quality issues, working closely with data engineers to resolve them
• Prepare and maintain test documentation, execution results, and defect reports
• Participate in Agile ceremonies and collaborate with cross-functional teams to ensure high-quality data delivery