Sr QA Engineer

Hace 4 días

Mexico The Adecco Group Jornada completa

-

Education:
Bachelor's degree in Computer Science, Information Systems, Engineering or related field.
- Languages: High level of proficiency in English (speaking, reading, writing) Level: B2, C1, C2,
- Modality: Remote Work
-

Location:
Mexico
- Gross

Salary:
$65,000 MXN /Month
- Hiring: 100 % Payroll
-

Benefits:
Social Insurance (IMSS), 12 Vacation days per year, 15 Days of Christmas Bonus, 25 % Vacation Bonus, Life Insurance. We are looking for an experienced Senior QA Engineer to support Clinical Analytics solutions built with Microsoft Fabric and Power BI.

Key Responsibilities
- Define risk-based test strategies for clinical analytics features, data products, semantic models, and Power BI reports.
- Create test plans, scenarios, negative cases, expected results, and regression coverage.
- Validate transformations, business rules, reconciliations, measures, filters, relationships, and report behavior.
- Lead defect triage, severity assessment, root-cause coordination, retesting, and regression decisions.
- Review test evidence for completeness, clarity, and reproducibility.
- Provide independent QA readiness assessments for controlled releases.
- Coach Junior QA resources and developers on testing and evidence practices. Required

Experience:
- +6 years of experience in QA/Testing across data, analytics, software, BI, or digital products.
- Experience with Microsoft Fabric mandatory
- Advanced English
- Strong SQL and data validation skills. *Experience testing Power BI and/or semantic models, including measures, relationships, filters, and refresh behavior.
- Experience designing risk-based test strategies and regression coverage.
- Experience with defect management, root-cause analysis, and release readiness.
- Experience with Microsoft Fabric, lakehouses, notebooks, pipelines, semantic models, or analytics data products.
- Strong documentation, communication, and analytical skills. Preferred: Pharma, Biotech, Clinical Development, Research, regulated environments, Azure DevOps, Git, automated testing, CI/CD, validation evidence, traceability, or controlled SDLC practices.