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Data Test Engineer - Achieve Debt Relief
QA Engineer
The Data Test Engineer designs, implements, and maintains automated data quality frameworks, ensuring reliable analytics pipelines using Python, SQL, ETL processes, and cloud services such as AWS.
About the role
Key Responsibilities
- Develop and maintain automated data testing suites to validate data pipelines, transformations, and loads.
- Collaborate with data engineers and analysts to define data quality metrics and acceptance criteria.
- Design and execute SQL‑based validation scripts and Python test frameworks for large‑scale datasets.
- Monitor data quality in production environments, troubleshoot anomalies, and drive root‑cause analysis.
- Integrate data tests into CI/CD pipelines using Git and cloud‑native tools (e.g., AWS CodeBuild, CodePipeline).
- Document testing strategies, results, and best practices for cross‑functional teams.
Requirements
- 3+ years of experience in data testing, data quality assurance, or related roles.
- Proficiency in Python and SQL for building automated validation scripts.
- Hands‑on experience with ETL processes and cloud platforms, preferably AWS.
- Familiarity with version control (Git) and CI/CD concepts.
- Strong analytical mindset with excellent problem‑solving and communication skills.