Lead QA Engineer

• Python, QA Data Automation, ETL, SQL
• no Selenium or Web or API testing
• this is core Data part. all data testng to be done through python SQL framework..
• strong knowledge on SQL, Python, ETL knowledge, QA test case, test planning..
• good to have AWS, S3, Redshift knowledge
• Strong technical knowledge of SQL and writing testing scripts in Python to validate functionality, performance, and reliability of data systems
• Deep understanding of the data domain, with data processing, data storage, and data retrieval
• Strong collaboration, communication skills and analytical skills
• Experience reviewing system requirements and tracking quality assurance metrics (eg defect densities and open defect counts)
• Experience creating and improving the integration of CI/CD pipelines
• Experience working in Agile/Scrum development process
• Some experience with performance and security testing
• Design and develop comprehensive test plan, test cases and test scenarios based on functional and non-functional requirements.
• Manage test case life cycle .
• Execute and analyse manual and automated tests to identify defects and ensure the quality of software applications.
• Work closely with development teams to ensure that test cases are aligned with development goals and timelines.
• Collaborate with cross-functional teams to ensure proper testing coverage and effective communication of test results.
• Ability to manage repeatable standard processes along with an ability to find, own and resolve ad-hoc issues.
• Hands-on experience in test executing using AWS services, technically proficiency in service such as MKS, EKS, Redshift, S3.

Minimum qualifications:

• Bachelors degree in computer science, information systems, or a related field.
• Experience in data engineering or a similar role.
• Demonstrated experience in testing data pipelines on AWS .
• Proficiency in SQL, Python test automation skills and data manipulation technique