Data Quality Engineer

Case IQ helps companies protect their employees, culture, and business through world-class software for uncovering, investigating, and preventing fraud, ethics, harassment, discrimination, and security incidents. As a Data Quality Engineer, you will ensure the integrity of business-critical data and manage data testing activities to certify that data is moving smoothly through pipelines.

Requirements

• Ensure the quality (accuracy, completeness, timeliness) of Continuous Monitoring customer data
• Run, monitor, and troubleshoot Apache Airflow data pipelines
• Implement and maintain data validation frameworks using Great Expectations
• Write SQL queries to analyze data for various quality conditions
• Develop and maintain Python-based data ingestion pipelines and automated test scripts
• Debug issues and conduct exploratory testing to identify root cause of issues
• Implement test plans and create test scenarios and test cases
• Report defects and issues identified during the test process using a defect tracking system (Jira)
• Attend daily stand-ups to report on testing progress and identify and impediments
• Prioritize and implement multiple activities in parallel
• Engage in peer reviews, requirements, code, design, and tests
• Take ownership of the quality of the product, reproduce customer issues, and perform root cause analysis for test escapes
• Work with developers to capture root causes and supporting artifacts (e.g., logs)

Benefits

• Competitive company-paid benefits plan
• Generous professional development budget
• RRSP/401k matching program
• Half-day Fridays in the summer