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Tier-1 employer, metro location, and broad automation/data skillset increase candidate competition.
Strong QA and data automation skills are transferable, though Veeva/CRM experience raises industry specificity.
Specific multi-disciplinary automation, data and CRM experience requirements make shortlisting stringent.
Design, develop, and execute scalable automation frameworks and automated regression suites across CRM (Veeva Salesforce), mobile/iPad, API, integration, and data pipeline applications.
Lead manual and automated data validation for source-to-target mapping, transformation logic, and data quality checks across structured and unstructured data.
Integrate AI-assisted testing and automation into CI/CD pipelines to improve coverage, accelerate release validation, defect analysis, and overall product quality.
Bachelor’s degree with 3–5 years OR Master’s with 1–3 years OR Diploma with 7–9 years relevant QA automation experience.
Hands-on experience in QA automation for CRM applications (Veeva/Salesforce), mobile (iOS), APIs, integrations, and data pipelines.
Technical expertise in SQL, Python, PySpark; API testing tools such as Postman; and automation frameworks like Selenium, Copado Robotic Testing, or equivalent.
Experience with agile QA processes, defect tracking tools (JIRA), and integration of automated tests into CI/CD pipelines.
Experienced in end-to-end test strategy and automation for enterprise CRM, mobile, and data-heavy applications with complex data validation requirements.
Proficient in applying AI-enabled tools for test creation, defect analysis, and automation maintenance within governed enterprise environments.
Skilled in collaborating across engineering, product, and QA teams within an Agile/SAFe delivery environment to drive continuous quality improvement and release readiness.