Test Lead - Data Automation
Hexaware
Full-time
On-site
United States
Test Lead
Description
QA Engineer Job Description We are looking for a highly skilled SDET with strong background in back-end testing, test automation frameworks, scripting languages and experience testing in cloud based environments. The ideal candidate will have hands-on experience with AWS services, advanced SQL and UNIX skills, automation and AI tools. Python programming experience is required. KEY JOB FUNCTIONS Analyze requirements and work with product owners/development team members to understand new features and user stories and design, develop, and execute test cases for testing. Participate in all team ceremonies including PI planning, Internal planning sessions and team retrospectives. Write complex SQL queries to validate data across multiple databases. Perform data validation and testing across AWS cloud-based data platforms. Develop/update scripts using Python/Unix for data preparation activities and mockup data conditions/files required for testing. Collaborate with cross-functional teams to ensure quality throughout the SDLC. Identify, log, and track bugs, working closely with the development teams for resolution. Support automation execution activities β Data preparation activities including Data refresh, cleanup, archival and table updates for required execution. Execution supporting backups, generation of expected results and comparison reports for huge volumes of data.
QA Engineer Job Description We are looking for a highly skilled SDET with strong background in back-end testing, test automation frameworks, scripting languages and experience testing in cloud based environments. The ideal candidate will have hands-on experience with AWS services, advanced SQL and UNIX skills, automation and AI tools. Python programming experience is required. KEY JOB FUNCTIONS Analyze requirements and work with product owners/development team members to understand new features and user stories and design, develop, and execute test cases for testing. Participate in all team ceremonies including PI planning, Internal planning sessions and team retrospectives. Write complex SQL queries to validate data across multiple databases. Perform data validation and testing across AWS cloud-based data platforms. Develop/update scripts using Python/Unix for data preparation activities and mockup data conditions/files required for testing. Collaborate with cross-functional teams to ensure quality throughout the SDLC. Identify, log, and track bugs, working closely with the development teams for resolution. Support automation execution activities β Data preparation activities including Data refresh, cleanup, archival and table updates for required execution. Execution supporting backups, generation of expected results and comparison reports for huge volumes of data.