Lead QA Engineer

Job Description

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 frmework.. strong knwoledge 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