Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills: Data Warehouse ETL Testing
Good to have skills: Data Modeling Techniques and Methodologies, Python (Programming Language), DevOps Minimum 3 year(s) of experience is required Educational Qualification: 15 years full time education
Summary: As a Quality Engineer, you will play a pivotal role in enabling full stack solutions through collaborative planning and integration within a multi-disciplinary team. Your typical day will involve engaging in continuous testing processes, focusing on security, API, and regression suites. You will create and implement automation strategies, develop automated scripts, and assist in configuring data and environments. Additionally, you will participate in code reviews, monitor application performance, and report defects, all aimed at enhancing the quality and efficiency of the end-to-end testing process.
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