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Senior, highly specialized QA-data automation architect reduces applicant density despite UST's mid-tier brand.
Role requires deep QA automation, data lake and ETL validation expertise, making background transferability low to medium and domain-sensitive.
Extremely specific mandatory skills and explicit 16+ years plus architect experience indicate high shortlisting strictness.
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Lead design and maintenance of scalable test automation frameworks for UI, API, and data testing using Selenium, Playwright, REST Assured, and other tools.
Own and implement enterprise test automation strategy, including CI/CD pipeline integration on GitHub Actions, Jenkins, and AWS infrastructure.
Lead AWS Data Lake and ETL/data pipeline validation efforts, ensuring data accuracy, integrity, and completeness across source-to-target flows.
16+ years hands-on QA and test automation experience; 5-6 years in an architect or lead role.
Mandatory hands-on experience with AWS Data Lake testing (S3, Glue, Athena, Redshift) and ETL/data pipeline validation.
Strong expertise in Java programming with Selenium WebDriver, Playwright, automation frameworks (TestNG, BDD), and advanced SQL skills including query optimization.
Proficient in CI/CD pipeline creation using GitHub Actions, Jenkins, Docker/Kubernetes; extensive AWS infrastructure use for test environments.
Senior-level automation architect with deep expertise in both application and complex data testing domains, including large-scale data warehousing and ODS architecture.
Experienced in driving technical decisions and mentoring across multiple engineering teams in distributed environments focused on CI/CD and cloud-native pipelines.
Skilled in integrating emerging tools such as AI-assisted test automation (GitHub Copilot) and performance testing methodologies to optimize quality and speed.