Staff Engineer (Data Testing, Python)

About Nagarro:
👋🏼 We're Nagarro, a Digital Product Engineering company scaling in a big way! We create products, services, and experiences that inspire, excite, and delight. With over 18,000 experts across 36 countries, we work at scale across all devices and digital mediums. Our work culture is dynamic and non-hierarchical, and we are looking for great new colleagues. That’s where you come in!

 Requirements:

• 7+ years in Data Testing with strong Python skills.
• Proficient in SQL, NoSQL, and pub-sub technologies.
• Familiarity with Linux/Unix, Git, Jenkins, CI/CD, and Azure Cloud.
• Experience in Agile/Scrum methodologies.
• Collaborate with product managers and developers to understand requirements and design effective testing strategies.
• Document detailed functional and integration test cases, coordinating with stakeholders to identify missing or complex scenarios.
• Execute tests, publish reports, and communicate findings to product and program stakeholders.
• Analyze server logs and databases to provide insights on bugs and track quality metrics such as defect densities and open defect counts.
• Design and develop a test automation framework, including creating mock/stub components for isolated testing.
• Excellent problem-solving and communication skills

RESPONSIBILITIES: 

• Work closely with product manager and developer to understand product requirement and design.
• Document detailed functional and integration test cases. Coordinate with the developer, product manager and other business stakeholders on test case review, identify missing and complex test case scenarios.
• Test execution, Publish test report and coordinate with product & programme stakeholders.
• Analyze server logs, DB and provide other relevant details with a bug.
• Track Quality metrics, like defect densities and open defect counts.
• Design and Develop test automation framework
• Develop mock/stub to test the functionality of a component in isolation

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.