• We are looking for a highly skilled Quality Assurance Engineer with a strong background in back-end testing, automation and experience testing in cloud-based environments.
• The ideal candidate will have hands-on experience with AWS services, advanced SQL, UNIX, and automation skills.
• Python programming knowledge is required to support data preparation tasks.

Key Job Functions:

• Analyze requirements working with product owners/development team members to understand new features and user stories to 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 – data preparation activities including data refresh, cleanup, archival and table updates required for execution. Execution supporting table backups, generation of expected results and comparison reports for huge volumes of data.

Required Skills:

• Strong understanding of SDLC and QA methodologies.
• Proficient in writing and executing SQL queries for data validation.
• Solid experience with Unix commands/scripting for file handling and log analysis.
• Hands-on experience with test automation tools/frameworks.
• Python programming skills for scripting and automation support.
• Experience working in cloud environments, preferably AWS (e.g., S3, EC2, Lambda, RDS, SNS/SQS, EMR, Step Function).
• Experience with CI/CD pipelines and tools like Jenkins, GitLab, or GitHub Actions.
• Experience with creating test cases/ test execution sets and defects in JIRA.
• Strong problem-solving skills in troubleshooting issues in data validations.
• Ability to effectively communicate and collaborate with other application teams and key business stakeholders.
• Minimum 8+ years of related enterprise experience.

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