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At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
This is the job
Our client is a leading tech company specializing in data-driven solutions for digital advertising and AI analytics. They provide scalable, high-performance data platforms for real-time decision-making, leveraging AI and machine learning to optimize marketing strategies.
They seek an experienced Automation QA Engineer to test high-volume data processing systems, ensure AI-driven solution reliability, and enhance automation frameworks.
The role focuses on automation but also requires some manual testing, specializing in Data/AI/ML, with the expectation to work in the client’s time zone at least until 2 PM PT (Pacific Time).
This is you
- 7–8+ years of experience as a Senior or Staff QA Engineer / SDET in complex, data-driven environments.
- Ready to work in the client’s time zone at least until 2 PM PT (Pacific Time) — required.
- Strong programming and test automation skills in Python and SQL.
- Deep expertise in testing data-intensive systems, data pipelines, and AI/ML models.
- Hands-on experience with databases such as Postgres and data warehouses like Snowflake.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Proven ability to lead QA initiatives and mentor junior engineers.
- Strong collaboration skills across cross-functional teams including Data Engineering, ML, and Product.
- Solid understanding of CI/CD processes and test automation tools.
- Knowledge of AI fairness, explainability, bias detection, and model validation techniques.
- Experience with version control systems such as GitHub or GitLab.
- Upper-Intermediate level of English
- Experience with BI tools such as Looker or Tableau.
- Background in AdTech, FinTech, or other large-scale data domains.
- Understanding of best practices in test environment setup and test data management.
- Lead QA efforts across AI/ML-based products and enterprise data platforms.
- Design, build, and maintain robust test automation frameworks using Python and SQL.
- Develop and execute comprehensive test plans for ML models to ensure accuracy, stability, fairness, and explainability.
- Validate ETL processes and data pipelines across systems like Postgres and Snowflake.
- Collaborate with Data Engineers, ML Engineers, and Product Managers to define and monitor quality metrics.
- Conduct functional, integration, and performance testing of large-scale data systems.
- Identify, report, and track issues, working closely with engineering teams to resolve them.
- Establish QA best practices for automation, CI/CD integration, and data quality management.
- Mentor and support junior QA engineers, promoting a culture of quality and continuous improvement.
- We offer an attractive social and benefits package.
- Everyone at Avenga is subject to professional growth via our mentorship program.
- Our specialists get regular performance reviews and technical assessments to identify development plans.
- The company provides extended training and certification opportunities.
- We stay up to date with the industry by embarking on tech talks, webinars, conferences, and hackathons.
- Avenga cares for its employees’ well-being by providing well-rounded health insurance coverage and fitness compensation programs.
- Our employees’ families are no less important, as we offer maternity aid and financial support for a number of family reasons, including marriage and childbirth.
- The company fosters a sense of professional belonging and an environment of togetherness: we achieve things together and celebrate our milestones.
Key Skills
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