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✈️ Bringing humanity back to air travel ✈️
IT Quality Engineer
Location
New York
Posted
110 days ago
Salary
$113.2K - $136K / year
Seniority
Senior
Job Description
IT Quality Engineer
JetBlue
• Collaborate with multiple teams to ensure data integrity and validation using the right tools and automation. • Be proficient in pre-screening raw data, vital checks on completeness and integrity of data, field tests on Aggregation, Reconciliation tests and Report testing. • Evaluate the quality of data received from data sources to ensure that it meets company standards. • Review Data Models, Data Mappings, and Architectural Documentation to execute effective system integration testing. • Work closely with Business Analysts, Architects, Development team and Product Owners to ensure data housed in multiple source systems is loaded to target accurately. • Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time. • Build new scripts and troubleshoot existing scripts. • Solve complex record and run issues including complex correlation problems. • Verify and validate data accuracy, completeness, and consistency using Extract/Transform/Load (ETL) tools and SQL queries. • Analyzes and troubleshoots erroneous results, determines the root cause of defects, logs the defects JIRA/QTest and enables defect management, including working with the development team on the resolution of Software related defects. • Drive opportunities and lead efforts to improve existing test processes or create new to increase efficiency and productivity in test case development, scheduling, or deployment. • Analyze test results and prioritize and log defects with appropriate information. • Manage multiple projects/deadlines with changing priorities. • Other duties as assigned.
Job Requirements
- Bachelor’s degree or foreign equivalent degree in Computer Science or related technical field and 3 years of experience with ETL/Data warehouse test or development experience.
- Experience must include: 3 years of experience with data analysis.
- 3 years of experience in SQL for data querying, validation, and analysis.
- 3 years of experience with complex joins, subqueries, and performance optimization.
- 3 years of experience in Scala/Python for test automation and data manipulation.
- 3 years of experience on Snowflake and Azure Databricks.
- 3 years of experience identifying changes, driving improvements, and streamlining processes.
- Demonstrated knowledge of: Software development lifecycle.
- Microsoft Azure technologies.
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