QA Analyst

Senior QA Analyst – Cyber Data Operations

📍Location: Charlotte, NC
💼Position Type: Contract
🎯Level: Senior

Position Overview

We are seeking aSenior QA Analyst to support theCyber Data Operations team within ISDAD. This role will contribute to QA testing efforts forCyberDW and Cyber Data Dashboards, including designing and executing test cases, identifying and tracking defects, and maintaining regression test plans, cases, and scripts.

The Senior QA Analyst will help ensure the delivery of reliable, high-quality systems by identifying defects, validating data and functionality, and confirming that business and technical requirements are met.

Key Responsibilities

• Develop and executetest plans, test cases, and test scripts based on business and technical requirements.
• Performmanual and automated testing across functional, regression, integration, system, performance, and user acceptance testing phases.
• Identify, document, report, and track defects through resolution.
• Collaborate with developers and technical teams to investigate and resolve defects.
• Ensurerequirements traceability and maintain accurate testing documentation.
• Create and maintain regression test plans, test cases, and automated test scripts.
• Participate inAgile/Scrum meetings with the CyberDW team.
• Provide feedback regarding system usability, stability, and overall quality.
• Contribute to continuous improvement of QA processes, testing methodologies, and tools.
• Identify, evaluate, and manage testing documentation and deliverables required for project testing and automation.

Required Qualifications & Technical Skills

• 8+ years of experience in Quality Assurance, Data Testing, ETL/ELT Testing, Data Engineering, or a related discipline.
• 5+ years of experience leading QA efforts for enterprisedata warehouse, data lake, or lakehouse platforms.
• Strong hands-on experience withDatabricks and testing data pipelines in cloud-based data platforms.
• Advanced proficiency inSQL and Spark SQL for complex data validation, reconciliation, and root-cause analysis.
• Hands-on experience withPython, PySpark, and Pandas for test automation, data validation, profiling, and analysis.
• Hands-on experience testing and validatingREST APIs usingPostman or similar API testing tools.
• Strong experience testingETL/ELT pipelines, data transformations, and source-to-target mappings.
• Experience designing and executing:
  • Functional testing
  • Integration testing
  • Regression testing
  • System testing
  • Performance testing
  • User Acceptance Testing (UAT)