Quality Assurance Automation Lead

QA Automation Lead

• Primary Skillset – Playwright , Java + Selenium ,UFT, Ranorex/C# , ETL/Big Data/Hadoop • Location – Trivandrum, Pune, Bangalore and Chennai only. Roles & Responsibilities: Test Automation • Design and architect enterprise-wide test automation frameworks that enable continuous testing across multiple platforms and technologies. • Develop and maintain robust, scalable and reusable automation scripts for functional and regression testing • Apply Agile, DevOps and shift-left testing practices to identify defects early in the development lifecycle. • Participate in sprint planning, reviews and retrospectives to continuously improve quality processes. • Communicate testing status, risks and outcomes clearly to stakeholders across technical and business teams. • Collaborate with development and product teams to understand requirements and define effective test strategies. • Utilize test automation frameworks including Selenium, Playwright, UFT or Ranorex. • Implement and maintain CI/CD integrations for automated test execution using tools like Jenkins, GitLab CI, GitHub Actions, or Azure DevOps. • Maintain proficiency with version control systems, particularly Git and branching strategies. • Apply strong knowledge of API testing tools like Rest Assured and Postman. • Establish and enforce best practices for test automation, including shift-left quality approaches. • Integrate test automation into CI/CD pipelines with comprehensive reporting and analytics dashboards. • Troubleshoot automation issues, perform root cause analysis, and ensure timely resolution. Roles & Responsibilities: ETL/Big Data/Hadoop • Design and implement test strategies for ETL processes, Big Data pipelines and Hadoop-based systems. • Create detailed test plans, test cases and documentation for ETL and Big Data testing processes. • Validate data extraction, transformation and loading (ETL) workflows to ensure accuracy, completeness, and integrity of data. • Develop and maintain automated test scripts for data validation, transformation logic, and end-to-end data flow. • Perform functional, regression and performance testing for large-scale data processing systems. • Collaborate with data engineers, developers, and business analysts to understand data requirements and transformation rules. • Utilize Big Data technologies such as Hadoop, Hive, Spark, Pig and HDFS for testing and validation. • Work with ETL tools like Informatica, Talend, DataStage or similar platforms for test automation and validation. • Validate data pipelines integrated with streaming platforms like Kafka.