QA Analyst

Senior QA Analyst - Cyber Data Operations

Location: Charlotte, NC

Position Type: Contract

Level: Senior

Position Overview

We are seeking a Senior QA Analyst to support the Cyber Data Operations team within ISDAD . This role will contribute to QA testing efforts for CyberDW 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 execute test plans, test cases, and test scripts based on business and technical requirements.
• Perform manual 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.
• Ensure requirements traceability and maintain accurate testing documentation.
• Create and maintain regression test plans, test cases, and automated test scripts.
• Participate in Agile/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 enterprise data warehouse, data lake, or lakehouse platforms .
• Strong hands-on experience with Databricks and testing data pipelines in cloud-based data platforms.
• Advanced proficiency in SQL and Spark SQL for complex data validation, reconciliation, and root-cause analysis.
• Hands-on experience with Python, PySpark, and Pandas for test automation, data validation, profiling, and analysis.
• Hands-on experience testing and validating REST APIs using Postman or similar API testing tools.
• Strong experience testing ETL/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)