automation qa

a1qa is a leading QA provider with a team of over 1000 specialists, offering end-to-end quality assurance solutions. The company specializes in automated testing, QA management, and the coordination of distributed teams for integrative projects, including pre-project services, acceptance testing, and IT security auditing.

• Design and implement automated test frameworks for batch, streaming, and API-driven data pipelines within containerized environments and CI/CD workflows;
• Validate data flows across layered architectures, ensuring correctness of transformations, aggregations, and business logic;
• Develop test suites for data contracts, schema consistency, metadata, lineage accuracy, governance, and compliance;
• Perform large-scale data quality testing and contribute to mocking, simulation, and performance/scalability testing;
• Evaluate and implement AI-driven testing tools, techniques, and processes to enhance test coverage and efficiency;
• Conduct Root Cause Analysis reviews, monitor data quality KPIs, report on defect trends, and advocate for best-in-class QE practices;
• Work with data engineers and product teams to define testable specifications for functional and non-functional requirements.

• 5+ Years of commercial experience in software test automation or quality engineering;
• English B1+;
• Advanced proficiency in Python and solid SQL skills for complex data validation;
• Deep experience with automated testing frameworks and software test methodologies;
• Strong experience in testing end-to-end systems, including data pipelines, APIs, and data services;
• Familiarity with GitHub Actions and hands-on experience with tools like JIRA, Azure DevOps, or qTest;
• Solid understanding of AI application in software testing, including prompt engineering techniques;
• Nice to have: Experience with modern data platforms (Databricks, Snowflake) and Lakehouse/Data Warehouse architectures, exposure to streaming or event-driven data pipelines, familiarity with Azure cloud services and Infrastructure-as-Code, understanding of data observability concepts, experience with AI agents and Power BI reporting testing, ISTQB Foundation Certification.

• No conditions specified