Senior QA Automation Engineer (Automation & BI Data Analytics) (Onsite, Hebbal)

• Design, develop, and maintain modular, extensible, and reusable test automation frameworks and scripts, while maintaining high stability.
• Set up, configure, and maintain the automation environment and data to ensure smooth testing processes.
• Develop and execute efficient automated performance test scripts to validate system stability and responsiveness.
• Create and maintain a comprehensive test automation library with scenarios to ensure thorough requirements and regression coverage.

• Assist in functional, regression, and integration testing for new or modified software programs using both manual and automated approaches.
• Validate Mobile, Web, and APIs using appropriate test automation testing tools and frameworks.
• Identify, report, and track product defects, providing clear and concise documentation of issues and potential improvements.

• Participate in product design reviews to provide input on requirements, automation feasibility, and testing implications.
• Write, review, and verify test plans and procedures for product evaluations and defect identification.
• Accurately estimate testing timelines and work toward targeted on-time delivery by proactively removing roadblocks.
• Collaborate with cross-functional teams to align on product goals and ensure quality standards are met.

• Provide feedback and insights to improve the software quality assurance process and methodology.
• Stay up to date with the latest automation tools and best practices to optimize the automation framework.
• Participate in an on-call rotation schedule to support critical testing needs outside of standard business hours.

• At least 5 -7 years of experience in developing and executing automated software scripts.
• At least 2 years of experience in writing and executing manual test cases and test plans.
• Ability to interpret and apply scripting languages (e.g. JavaScript / Java / C#) for use in automation scripted custom actions
• Strong understanding of software quality assurance standards, practices, and methodologies.
• Hands-on experience with HTML and CSS selector for object identification for test automation.
• Ability to comprehend, perform project planning and execution, and mentor others while delivering on large, complex QA initiatives with minimal assistance and review.
• Design, develop, and execute test plans and test cases for BI and reporting applications, ensuring data accuracy and integrity across large datasets.
• Collaborate with data engineers and analysts to create and validate test datasets used in data modelling and reporting solutions.
• Perform manual and automated testing of BI dashboards, analytics, KPIs, and visualizations to ensure correctness and performance.
• Conduct SQL-based data validation against Amazon Redshift and other data sources to ensure data consistency and accuracy.
• 3+ years of experience in QA testing with a focus on BI and data analytics platforms.
• Strong proficiency in SQL for building querying and validating large datasets, preferably in Amazon Redshift.
• Experience with BI tools such as Qlik, Power BI, or similar.
• Ability to balance individual and team effort in collaborative processes while meeting set deadlines
• Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.

• Ability to work with data sets in an XML or JSON format
• Proficiency in API validation and experience with API testing tools.
• Excellent problem-solving skills, with the ability to identify defects, predict potential gaps in requirements, and troubleshoot issues.
• Extensive understanding and continued learnings around QA methodology, tools, and approaches
• Knowledge of database configurations and integration testing.
• Proficiency in scripting languages such as JavaScript and familiarity with Node.js.
• Hands-on experience with web object identification methods (e.g., XPath).
• Strong understanding of where test automation applies, including its usage and maintenance.

• Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or a related field.

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