Data QA engineer

Ajax Systems · Kyiv · onsite Ajax Systems, a leading international technology company and Europe's largest security system manufacturer, seeks a Data QA Engineer (Middle) for its Data Warehouse & Analytics team. The successful candidate will help build a systematic approach to data testing and ensure data quality at all stages of processing. About the Role: The Data QA Engineer will be responsible for developing and improving data testing processes, ensuring data accuracy, completeness, and consistency. This involves testing ETL/ELT processes, verifying data against business requirements, and collaborating with Data Engineers, Business Analysts, and other teams to resolve data discrepancies. Key Responsibilities: Develop and enhance data testing processes within the Data Warehouse & Analytics team. Test ETL/ELT processes and verify data correctness and transformation from sources like SAP, 1С to Databricks. Validate data against business requirements across all processing stages. Conduct Data Validation and Source-to-Target Reconciliation. Identify data anomalies such as duplicates, missing records, and incorrect values. Create and maintain test cases and scenarios. Develop automated data testing, including regression checks. Verify data correctness after changes in data pipelines or business logic. Participate in testing master data preparation for SAP implementation. Analyze data discrepancies and collaborate with teams to resolve them. Requirements: At least 2 years of commercial experience in Data QA, ETL QA, DWH QA, or Software QA with a focus on data testing. Strong SQL skills. Knowledge of Python and its application for data testing and automation. Understanding of Quality Engineering principles and practical approaches to testing. Familiarity with ETL/ELT processes and Data Warehouse architecture. Knowledge of Data Quality, Data Validation, and Data Governance principles. Experience with data transformation verification and business requirement compliance. Analytical mindset and ability to work with complex business logic. Proactive, systematic approach with strong communication skills. Intermediate level of English for documentation and international team collaboration. Nice to Have: Practical experience in automating Data Quality/Validation tests. Experience with Databricks, PySpark, Spark. Familiarity with Python-based testing frameworks. Experience with SAP integrations and DWH. Background in building testing processes from scratch. Understanding of CI/CD and test integration in development processes. Experience with large data volumes and multi-source integrations. Familiarity with BI solutions like Power BI. What We Offer: Participation in large-scale international projects. Opportunity to develop Data QA processes and tools. Work with modern tech stack: Databricks, Python, SQL, PySpark. Collaboration with Data Engineers, SAP specialists, and business analysts. Professional growth opportunities. Office work in a comfortable, generator-equipped office with shelter. Official employment with stable payment. Flexible schedule. Learning compensation. English language classes. Medical insurance. Ajax system security kit. Dynamic team and zero-bullshit culture.