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QA Engineer with Data Background
Expert In Recruitment Solutions
- United States
- United States
Über
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
Sprachkenntnisse
- English
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