Job highlights

- Proficiency in Python and PySpark for automation testing

- Design and develop test plans, execute automated tests, analyze defects, and collaborate in agile teams

Roles and Responsibility

- Design and develop comprehensive test plans and cases for PySpark applications.

- Collaborate with cross-functional teams to identify and prioritize testing requirements.

- Develop and execute automated tests using PySpark and other relevant tools.

- Analyze and report defects found during testing, working with development teams to resolve issues.

- Participate in agile development methodologies, providing feedback and suggestions for process improvements.

- Stay up-to-date with industry trends and emerging technologies in big data testing.

Job Requirements





- Strong understanding of software testing principles, methodologies, and best practices.

- Proficiency in Python programming language and PySpark framework.

- Experience with automation testing tools and frameworks such as Selenium or Appium.

- Excellent problem-solving skills, with the ability to analyze complex issues and provide creative solutions.

- Strong communication and collaboration skills, with experience working with distributed teams.

- Ability to work in an agile workplace, prioritizing tasks and managing multiple projects simultaneously.

📌 Senior Pyspark Tester (Bengaluru)
🏢 Luxoft
📍 Bengaluru