Lead Quality Assurance Engineer

2 weeks ago


New York, New York, United States Fitch Group Services, Inc. Full time
Position Overview:

The Senior QA Engineer will be responsible for evaluating requirements and specifications to establish testing conditions. This role involves crafting test cases and scripts, ensuring alignment with predetermined criteria, and documenting and reporting results.

Key Responsibilities:

  • Formulate test strategies and develop comprehensive test plans and detailed test cases.
  • Write test scripts by breaking down business requirements and create scenarios to ensure quality deliverables.
  • Conduct back-end testing using advanced SQL queries in Oracle, develop regression suites utilizing a Python automation framework, and execute regression and integration testing.
  • Collaborate with team members and users to define workflow specifics and application programming interfaces (APIs) for automated script development.
  • Analyze test outcomes and log defects using JIRA, partnering with project team members to resolve and retest identified issues.
  • Document, maintain, track, and report testing status through tools such as ALM, JIRA, and qTest.
  • Engage with ETL processes and data warehouse testing, utilizing ORACLE database technologies, and writing complex ORACLE SQL and PL/SQL scripts for data validation.
  • Perform BI testing with Qlikview and Cognos, analyze source systems, staging areas, and fact and dimension tables in the Target Data Warehouse.
  • Implement automated testing using Python Framework (Datacompare), Pandas, and Selenium automation, as well as Postman, SOAPUI, and GraphQL for API testing.
  • Ensure data validation and defect tracking using quality assurance tools, including ALM, JIRA, and qTest, while adhering to QA processes and deliverables in Agile/SCRUM environments.

Qualifications:

A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, accompanied by five (5) years of experience in ETL processes and data warehouse testing, ORACLE database technologies, and writing complex ORACLE SQL and PL/SQL scripts.

Experience in BI testing using Qlikview and Cognos, analyzing source systems, staging areas, and fact and dimension tables in Target Data Warehouse, as well as automated testing using Python Framework (Datacompare), Pandas, and Selenium automation.

Familiarity with Postman, SOAPUI, and GraphQL for API testing, alongside data validation and defect tracking using quality assurance tools, including ALM, JIRA, and qTest, is essential.

Proficiency in QA processes and deliverables within Agile/SCRUM environments is required.



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