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Common QA role, metro location, broad automation and cloud requirements increase applicant density despite pipeline specialization.
Data-pipeline and cloud testing focus raises domain specificity, reducing cross-industry transferability somewhat.
Mandatory data-pipeline, automation and cloud QA expertise plus lead responsibilities create moderately strict filtering.
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Maintain SLA for Technical Operations including proactive application uptime monitoring and incident reduction.
Coordinate incident management and streamline query management with ServiceDesk and Level 1 teams.
Automate and execute QA plans for digital solutions, mentor team members, and contribute to cloud QA best practices.
Strong experience with Data Processing Pipeline (must have).
Experience in writing and automating test scenarios, plans, and documentation with test metrics and reports.
Experience testing Agile projects and contributing to QA strategy creation/refinement.
Bachelor’s degree/MCA in Computer Science, IT, or related field; Proven track record in automation testing solutions.
Experienced in Agile testing with broad knowledge of Functional, Regression, API, Integration, UAT, and Performance testing.
Capable of handling escalations, mentoring team members, and driving efficiency improvements in Level 2 support.
Skilled in cross-functional collaboration and able to work independently while multitasking and adapting flexibly.