Automation QA Engineer (data focus)

Must haves

• 5+ years of hands-on experience in Software Development Engineer in Test (SDET), Quality Assurance, or Test Automation.
• Strong experience in backend testing and validating data platforms.
• Proven experience with test automation using Python; experience with Robot Framework is highly preferred.
• Solid understanding of automated testing for data pipelines and backend services.
• Experience testing data ingestion, transformation, and processing workflows.
• Working knowledge of SQL and writing complex queries for data validation.
• Familiarity with Git and version control workflows.
• Experience working in Agile development environments.
• Upper-Intermediate to Advanced English level — both written and spoken.
• Self-starter with strong ownership and curiosity, able to work independently across multiple teams and products, and proactively raise quality issues.
   

Nice to Have

• Experience working with AI-assisted testing tools or AI testing agents.
• Experience with modern data technologies such as Snowflake, Apache Iceberg, and Kafka.
• Hands-on experience integrating AI-based testing solutions into existing test frameworks.
• Experience with Robot Framework.
• Familiarity with cloud platforms (AWS is a plus).
• Experience with CI/CD pipelines and automated testing within deployment workflows.
   

‍Key responsibilities

• Build, maintain, and enhance automated tests for backend systems and data pipeline workflows.
• Support testing across the Sync application and Delivery Streams platform, ensuring the quality of data ingestion and processing pipelines.
• Validate data integrity across backend services and data storage platforms.
• Work with AI-based testing agents to generate, automate, and improve test coverage.
• Integrate existing AI testing agents into the Sync repository.
• Collaborate closely with software engineers, QA engineers, and product teams across multiple projects.
• Design, develop, execute, and maintain scalable automated test suites.
• Analyze test results, investigate defects, and proactively identify quality risks.
• Participate in sprint planning, daily stand-ups, backlog refinement, and retrospectives within Agile teams.