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Ampstek • Lesser Poland Voivodeship, Poland
Job Summary We are looking for a skilled Automation Tester with strong experience in Python, PySpark, Java, and Cloud platforms to design and execute automated test solutions for data pipelines, applications, and cloud-based systems. The ideal candidate will ensure data accuracy,
Job Summary We are looking for a skilled Automation Tester with strong experience in Python, PySpark, Java, and Cloud platforms to design and execute automated test solutions for data pipelines, applications, and cloud-based systems. The ideal candidate will ensure data accuracy, system reliability, and high-quality releases across complex distributed environments. Key Responsibilities Design, develop, and maintain automation test frameworks using Python and Java. Perform data validation and testing for large-scale datasets using PySpark. Automate testing for data pipelines, ETL/ELT processes, and batch jobs. Validate data integrity, transformations, and business rules in cloud environments. Execute functional, regression, integration, and system testing. Test REST APIs and backend services. Perform cloud-based testing across AWS / Azure / GCP environments. Integrate automation tests into CI/CD pipelines. Analyze test results, log defects, and collaborate with development teams. Ensure test coverage, quality metrics, and continuous improvement. Required Skills & Qualifications Strong experience in Python for automation testing. Hands-on experience with PySpark for data validation and testing. Good knowledge of Java for automation or backend testing. Experience testing applications in Cloud environments (AWS, Azure, or GCP). Strong understanding of software testing life cycle (STLC). Experience with SQL for backend and data testing. Familiarity with API testing tools and frameworks. Experience with version control systems (Git). Preferred Qualifications Experience with automation frameworks such as PyTest, Selenium, TestNG, JUnit. Knowledge of BDD frameworks (Cucumber, Behave). Experience testing big data or data engineering pipelines. Exposure to containerization tools (Docker, Kubernetes). Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps). Show more Show less