QA Data Engineer
Save-On-Foods
About the role
About
Join a progressive IT team as a QA Data Engineer, focused on validating data pipelines for analytics and machine learning. Collaborate with experts to enhance data quality through innovative testing methods.
In this full-time position, you will work closely with Data Scientists and Engineers, implementing validation frameworks and quality tests. Your expertise will help ensure the accuracy, reliability, and robustness of data pipelines. Key tasks include supporting system documentation, addressing production issues, and actively participating in peer code reviews.
Utilize your analytical skills to transform data quality practices and support the development of scalable, reliable analytics solutions.
Key Responsibilities
- Develop automated tests for data quality assurance
- Monitor QA reports and data quality metrics
- Improve existing validation frameworks and tooling
- Work with data teams to streamline pipelines
- Conduct thorough peer reviews of code changes
Requirements
- Bachelor’s in computer science or relevant field
- Minimum 3 years of QA experience with data solutions
- Proficient in Python, Spark, SQL, and CI/CD workflows
- Experience in cloud environments (e.g., Azure, AWS)
- Familiar with data orchestration tools like Airflow
Skills
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