Python Automation Test Engineer

1 day ago

Pune, India Varite Full time

Job Summary : We are seeking a highly skilled Python Automation Engineer with strong expertise in data automation, statistical analysis, and software testing. The ideal candidate will have hands-on experience with Python (Pandas), Power BI, and a solid understanding of automation frameworks and testing methodologies. The role requires excellent analytical skills, attention to detail, and the ability to work collaboratively in an Agile environment.- Design, develop, and maintain Python automation scripts for data validation, testing, and analysis.- Utilize Pandas for data processing and transformation within automation workflows.- Develop and execute test plans, test cases, and automation suites to ensure software quality.- Perform data visualization and reporting using Power BI.- Apply strong statistical and analytical techniques for test data evaluation.- Collaborate with development, QA, and data teams to identify and resolve automation issues.- Follow best practices in version control, CI/CD, and Agile processes.- Maintain clear documentation of automation frameworks, scripts, and reports.- Bachelors degree in Electrical Engineering or a related technical field (or equivalent work experience).- 3 - 5 years of experience as a Python Automation Engineer or similar role.- Strong exposure to Pandas for data manipulation and analysis.- Solid understanding of statistical principles and data validation.- Strong knowledge of software testing methodologies and QA best practices.- Good programming/scripting skills in Python.- Expertise in Power BI for visualization and dashboarding.- Excellent analytical, problem-solving, and communication skills.- Strong attention to detail and commitment to quality.- Ability to work collaboratively within a team-oriented environment.- Experience with test automation frameworks (BDD, Selenium WebDriver, Appium, TestNG).- Knowledge of CI/CD pipelines and tools.- Familiarity with Git or other version control systems.- Experience with performance testing tools (JMeter, Gatling).- Understanding of Agile development methodologies (Scrum, Kanban).- Exposure to cloud-based ML platforms (AWS, Azure, Google Cloud).- Knowledge of containerization and orchestration tools (Docker, Kubernetes). (ref:hirist.tech)

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