Opportunity Description
Lead the quality assurance efforts for data pipelines as a QA Data Engineer. Partner with talented IT teams to ensure data integrity for analytics and reporting.
In this engaging role, you will be responsible for building and automating tests to validate data transformation processes. With over 3 years of QA expertise, you will work with Data Scientists and Engineers to implement best practices in data quality and pipeline performance. Help drive impactful data solutions that enhance operational efficiency.
Key Responsibilities:
• Develop test cases for data engineering projects
• Design and maintain quality assurance reports
• Create automation frameworks for data validation
• Validate data pipelines for machine learning applications
• Identify and resolve issues in production data environments
Requirements:
• Degree in Computer Science or engineering
• 3+ years of QA experience with data systems
• Proficient in Python, SQL, and data technologies
• ...
In this engaging role, you will be responsible for building and automating tests to validate data transformation processes. With over 3 years of QA expertise, you will work with Data Scientists and Engineers to implement best practices in data quality and pipeline performance. Help drive impactful data solutions that enhance operational efficiency.
Key Responsibilities:
• Develop test cases for data engineering projects
• Design and maintain quality assurance reports
• Create automation frameworks for data validation
• Validate data pipelines for machine learning applications
• Identify and resolve issues in production data environments
Requirements:
• Degree in Computer Science or engineering
• 3+ years of QA experience with data systems
• Proficient in Python, SQL, and data technologies
• ...
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