QA Engineer

Responsibilities:

• Test Development & Execution: Write, execute, and maintain comprehensive tests and scripts designed to validate our analytics code, data pipelines, and processes.
• Test Automation: Implement and maintain automated testing frameworks to streamline data quality assurance processes.
• Data Validation: Develop and perform automated and manual tests to ensure data accuracy, consistency, and completeness across all systems.
• Code Review: Collaborate with other data QA engineers and data engineers to review and improve data-related code.
• Documentation: Document test cases, procedures, and results to ensure a clear record of data validation efforts.
• Collaboration: Work closely with cross-functional teams to understand data requirements, provide feedback, and contribute to overall data quality improvements.
• Continuous Improvement: Stay updated on the latest QA methodologies and tools, and continuously seek to improve testing strategies and processes.

 Qualifications:

• BS in Engineering, Computer Science, Data/Information Science, Mathematics, or a related field.
• 2+ years of hands-on experience in a similar position.
• Working knowledge of Python.
• Experience working with relational data via Oracle, Postgres, and/or SQL Server.

Key Skills:

• Communication.
• Problem solving.
• Time management.
• Test automation.
• Analytical skills.
• Systems development life cycle.
• Critical thinking.
• Programming.