Sr. QA

We are seeking a skilled Data Automation QA Engineer to join our Quality Assurance team. The ideal candidate will have hands-on experience in automating API and database validations using Pytest, SQL, Jupyter Notebooks, excellent communication skills, and a proven track record of working in Agile environments and collaborating with onsite teams. This is an individual contributor role, responsible for driving quality through automation and ensuring robust validation of our systems. Key Responsibilities: Database validations using Pytest, SQL, Jupyter Notebooks. Collaborate with onsite and distributed teams to understand requirements and deliver high-quality solutions. Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives. Analyze test results, identify defects, and work closely with development teams to resolve issues. Document test cases, test results, and maintain test documentation. Continuously improve automation frameworks and processes for efficiency and scalability. Communicate effectively with stakeholders, team members, and management. Required Skills & Experience: Bachelor's degree in Computer Science, Information Technology, or related field. 5+ years of experience in QA automation with a focus on Python. Strong experience in Pytest, SQL Experience in sql server vs GCP validations using Jupyter Notebooks Hands-on experience in API testing using Swagger and Postman Experience on Allure test reports Excellent verbal and written communication skills. Experience working in Agile/Scrum environments. Prior experience collaborating with onsite teams. Ability to work independently as an individual contributor. Experience using Jira Preferred Skills: Experience in GCP Experience with CI/CD tools (e.g., Jenkins, GitLab). Insurance Domain Rest Assured API Automation