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# Senior QA Analyst / QA Lead (Manual, Automation & Data Validation)

- **Company:** Resourcesoft, Inc.
- **Location:** Memphis, TN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JIRA, Automation of Tests, Microsoft Azure, Code Coverage, Data Validation, Extract Transform Load (ETL), Data Migration, Python (Programming Language), Systems Development Life Cycle, Regression Testing, Selenium, Software Engineering, SQL Databases, Cypress (Programming Language), Pandas, Playwright
- **Published:** August 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us1c2ff55ea6e85fe081aaa836c9007636

## About the Role

7+ years of professional experience in enterprise quality assurance leadership and test automation strategy.
Proficiency in Python and Pandas for building automated data validation and ETL reconciliation scripts.
Experience with ISTQB, CSQA, or equivalent professional quality assurance certifications.
Experience in data migration testing and source-to-target validation for large-scale enterprise conversions.
Experience with SQL for complex backend testing and maintaining QA dashboards in Azure DevOps or Jira.
Experience in implementing automation frameworks using Selenium, Playwright, or Cypress for regression testing.
Exceptional communication skills for managing executive stakeholders and leading cross-functional defect triage sessions., Enforce SDLC standards and artifact retention policies across multiple concurrent software development projects.

## Description

Architect enterprise test strategies and automation roadmaps to shift from manual to automated delivery models.
Develop repeatable Python-based scripts to automate row counts, null checks, and duplicate detection for data migrations.
Lead multi-phase testing cycles including functional, integration, regression, and system-level validation efforts.
Orchestrate User Acceptance Testing (UAT) planning and coordination across business and technical workstreams.
Design technical QA dashboards to track defect trends, test coverage, and automation adoption metrics.
Execute data quality assessments and root cause analysis to resolve complex discrepancies in ingestion-ready datasets.


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