EI
QA Engineer with Data Background
Expert In Recruitment Solutions
🇺🇸 United States
On-site
Senior
4 months ago
- SQL
- Python
- Jira
- Agile
- Scrum
- Postman
- Pandas
- PySpark
- Confluence
4 months ago
Location: Charlotte, NC
Position Type: Contract
Overview:
• We are seeking a senior-level QA Analyst to support the Cyber Data Operations team within ISDAD.
• This role is responsible for ensuring the quality, accuracy, and reliability of CyberDW data pipelines and Cyber Data Dashboards through robust testing practices.
• The ideal candidate will play a hands-on role in designing and executing test cases, validating large and complex datasets, identifying and tracking defects, and maintaining comprehensive regression test plans.
• This position is critical to delivering trusted data products by ensuring functional accuracy, data integrity, and adherence to requirements across systems.
Key Responsibilities:
• Design, develop, and execute detailed test plans, test cases, and test scripts based on business and technical requirements
• Perform manual and automated testing across functional, regression, integration, and user acceptance testing (UAT) phases
• Validate data accuracy, completeness, and consistency across CyberDW and Cyber Data Dashboards
• Analyze and scrub large datasets using SQL and Python-based tools to identify anomalies, defects, and data quality issues
• Clearly document, track, and manage defects using JIRA, and partner closely with development teams through resolution
• Maintain requirement traceability and QA documentation; contribute to regression test plans, cases, and scripts
• Participate actively in Agile/Scrum ceremonies, providing feedback on system stability, usability, and data reliability
• Test and validate data integrations and services leveraging APIs, including detailed verification using Postman
• Identify, evaluate, and manage QA documentation, testing artifacts, and deliverables across projects
• Contribute to continuous improvement of QA processes, tools, and testing strategies
Required Qualifications (Non Negotiable):
Candidates must have strong, hands-on experience with all of the following:
• SQL – advanced querying, joins, CTEs, and data validation across large datasets
• Python – data analysis and test validation scripting
• Pandas – data manipulation and quality analysis
• PySpark & SparkSQL – large-scale data validation and transformation testing
• APIs (RESTful services) – validating data flows and integrations
• Postman – API testing, payload validation, and troubleshooting
Additional Required Experience:
• 7–10 years of experience in software testing, quality assurance, or business systems analysis
• Strong background in data-centric QA; financial services or banking experience preferred
• Hands-on experience with test management and defect tracking tools (e.g., JIRA; Confluence a plus)
• Solid understanding of SDLC and Agile/Scrum methodologies
• Exceptional attention to detail with strong analytical and problem-solving skills
• Clear written and verbal communication skills, with the ability to document complex testing scenarios
QA Engineer with Data Background · Expert In Recruitment Solutions