Python Automation Test Engineer

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).