- 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
