Data QA engineer

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.