Senior QA Engineer II

5 - 10 years

30 - 35 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Collaborate with cross-functional teams to understand project requirements and specifications
  • Design, develop, and maintain comprehensive end-to-end automated testing frameworks for our AI-ML platform
  • Create and execute detailed test plans, test cases, and scripts to validate software correctness, performance, and scalability
  • Develop and maintain data-driven automated tests using Python and Spark, covering critical aspects such as data validation, transformation, and result accuracy
  • Identify, document, and track software defects using issue tracking systems, ensuring timely resolution in collaboration with development teams
  • Integrate automated tests into continuous integration and continuous deployment (CI/CD) pipelines to facilitate seamless software delivery
  • Collaborate with the QA team to enhance testing methodologies, tools, and best practices
  • Participate in code reviews to ensure the testability and maintainability of the codebase
  • Investigate and reproduce reported issues, providing detailed reports to aid in debugging and resolution
  • Mentor other team members and facilitate the adoption of test automation across the QA team
  • Stay updated with industry trends, emerging technologies, and best practices in QA and test automation
  • Qualifications:
  • Bachelor s degree in computer science, Engineering, or related field (or equivalent work experience)
  • Minimum of 5 years of proven experience as a QA Automation Engineer, with a focus on end-to-end test automation
  • Strong programming skills in Python, with the ability to design, implement, and maintain robust automation scripts
  • Proficiency in Apache Spark for data processing and analytics testing
  • Knowledge of SQL, Spark SQL, and database testing is advantageous
  • Experience with testing frameworks and tools such as PyTest, Selenium, or similar
  • Solid understanding of software testing principles, methodologies, and best practices
  • Familiarity with version control systems (eg, Git) and CI/CD processes
  • Strong problem-solving skills, attention to detail, and a passion for quality assurance
  • trong programming skills in Python, with the ability to design, implement, and maintain robust automation scripts
  • Proficiency in Apache Spark for data processing and analytics testing
  • Knowledge of SQL, Spark SQL, and database testing is advantageous
  • Experience with testing frameworks and tools such as PyTest, Selenium, or similar
  • Solid understanding of software testing principles, methodologies, and best practices
  • Familiarity with version control systems (eg, Git) and CI/CD processes
  • Strong problem-solving skills, attention to detail, and a passion for quality assurance

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