QA Engineer

• Ensure the quality (accuracy, completeness, timeliness) of Continuous Monitoring customer data
• Run, monitor, and troubleshoot Apache Airflow data pipelines
• Leverage Apache Spark to design and implement scalable data processing pipelines, ensuring efficient handling of large datasets and high data quality
• 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)

Data Quality Engineer

Pentester Expert

QA Analyst

Quality Assurance Analyst

QA Engineer

Manual QA