This is us
At Qinshift and Avenga we are merging together to start a new era of technology that matter. Leveraging the power of innovations, we are on a journey to shape the future of work, and we are inviting you to co-create it with us.
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.
This is you
- 3+ years of experience as a QA Engineer or SDET.
- Strong programming and automation skills in Python and SQL.
- Experience testing High-Volume Data Processing Systems and data pipelines.
- Hands-on experience with databases like Postgres and data warehouses like Snowflake.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Experience with Version Control Systems (VCS) like GitHub or GitLab.
- Strong problem-solving skills and attention to detail.
Nice-to-have skills:
- Experience with data validation frameworks and testing data transformations.
- Familiarity with CI/CD pipelines and test automation tools.
- Exposure to AdTech or other data-intensive applications.
This is your role
- Develop and execute test plans for data pipelines, ETL processes, and Enterprise Data Platforms.
- Build and maintain test automation frameworks using Python and SQL.
- Validate data integrity, transformations, and performance across large datasets.
- Perform functional, integration, and performance testing for data warehouses and databases.
- Identify, analyze, and document defects, working closely with Data Engineers to resolve issues.
- Ensure CI/CD pipeline integration for automated data testing.
- Collaborate with cross-functional teams, including Data Engineering and Product teams.
What awaits you at Avenga x Qinshift?