Ensure robust data validation as a QA Data Engineer. Combine thorough manual testing with automated solutions to uphold the accuracy of enterprise data platforms.
Ideal for professionals with 4-7 years of QA experience in data environments, this role involves both manual and automated testing strategies. Candidates should be adept in SQL and Python, focusing on verifying data transformations and performance throughout ETL pipelines. Your contributions will directly impact the quality of data-driven insights.
Key Responsibilities:
• Design and execute tests for ETL/ELT pipelines
• Validate data performance and identify processing bottlenecks
• Conduct regression tests to safeguard metrics
• Investigate and resolve data quality issues
Requirements:
• 4-7 years experience in QA testing necessary
• Bachelor’s degree in Computer Science or equivalent
• Robust proficiency in SQL, Python automation required
• Knowledge of cloud data technologies and BI tools
Utilize your expertise in QA and data validation to optimize accuracy and ensure strategic goals are met with high integrity.
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Apply on Kit Job: kitjob.ca/job/2fshli
📌 Data Integrity Specialist: QA Engineer with Testing Automation Skills (Mississauga)
🏢 Nagarro
📍 Mississauga
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