About The Role In this role, you will contribute to a large-scale data platform modernization initiative for a leading energy company focused on renewable energy and nuclear operations. You will support quality assurance activities across complex data migration and transformation processes, helping ensure data accuracy, integrity, and compliance within a regulated environment. Working closely with cross-functional teams, you will validate modern data solutions built on Databricks and Delta Lake while contributing to reliable and production-ready delivery outcomes.
Responsibilities
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
Requirements
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
Senior QC Engineer (Data) in Warsaw – pracodawca: SoftServe Inc.
SoftServe Inc. oferuje elastyczne opcje pracy oraz możliwość współpracy z zespołem ekspertów w dziedzinie AI i Data Science. Pracownicy mają szansę na rozwój zawodowy poprzez mentoring oraz udział w innowacyjnych projektach związanych z generatywną AI i systemami wieloagentowymi. Firma stawia na budowanie silnych relacji z klientami, co sprzyja dynamicznemu rozwojowi kariery.
