Middle Aqa Engineer
hace 2 días
**_This is us_**
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_**
- 3-5+ years of experience in QA Engineering or SDET roles within data-driven or complex system environments.
- Ability to work in the client’s time zone at least until **2 PM PT (Pacific Time)** — required.
- Solid programming and test automation skills using **Python** and **SQL**.
- Good understanding of testing data pipelines, data processing systems, and basic ML/AI workflows.
- Experience working with relational databases such as **Postgres** and familiarity with data warehouses (e.g., **Snowflake**).
- Knowledge of cloud platforms (**AWS**, **GCP**, or **Azure**) and their core services.
- Experience collaborating with cross-functional teams (Data Engineering, ML, Product).
- Good understanding of CI/CD processes and automated testing tools.
- Hands-on experience using version control systems such as **GitHub** or **GitLab**.
- **Upper-Intermediate English** level for daily communication.
**_
This is your role_**
Contribute to QA efforts across AI/ML-based products and enterprise data platforms.
- Build and maintain automated tests using **Python** and **SQL**.
Support the creation and execution of test plans for ML models, including accuracy and stability checks.Validate ETL processes and data pipelines across systems like Postgres and Snowflake.Work closely with Data Engineers, ML Engineers, and Product Managers to help define and track quality metrics.Perform functional, integration, and performance testing for data-intensive systems.Identify, log, and track defects, collaborating with engineering teams on resolution.Contribute to improving QA processes, automation practices, and CI/CD integration.
- Support team knowledge sharing and participate in building a culture of quality and continuous improvement.
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