Senior Staff Engineer – Python Developer

3 days ago

Apply Now
Logo of Nagarro

Nagarro

B2B • Enterprise • Technology Consulting

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

10,000+ employees

Founded 1996

🤝 B2B

🏢 Enterprise

📋 Description

• Proficient in designing and implementing Python classes and modules using OOP principles. • Write clean, maintainable, and efficient Python code, ensuring high performance and responsiveness of applications. • Proficient in debugging, troubleshooting, and optimizing code to enhance performance. • Collaborate with front-end developers to integrate user-facing elements with server-side logic. • Hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc.

🎯 Requirements

• Proficient in designing and implementing Python classes and modules using OOP principles. • Experienced python programmer with strong knowledge of pandas. • Write clean, maintainable, and efficient Python code, ensuring high performance and responsiveness of applications. • Proficient in debugging, troubleshooting, and optimizing code to enhance performance. • Skilled in designing, developing, testing, and managing Fast APIs, with understanding of software engineering best practices, testing frameworks, and packaging for seamless integration between software components. • Knowledgeable in developing, deploying, and managing microservices to build scalable and maintainable applications. • Hands-on experience with Data engineering tasks like productizing data pipelines, building CI/CD pipeline, code orchestration using tools like Airflow, DevOps etc. and Docker for containerization and automation. • Familiar with data related concepts for machine learning applications (MLOps) such as data versioning and data validation. • Familiar with cloud database, e.g. snowflake, including connecting to a cloud data source (Snowflake), data storage and retrieval. • Strong problem-solving skills and attention to detail. • Excellent communication, teamwork abilities, and should be able to work independently.

🏖️ Benefits

• Remote work

Apply Now

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