Senior - Python

4 - 8 years

0 Lacs

Posted:20 hours ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Role Overview: As a member of KPMG in India, you will be responsible for designing, developing, and maintaining scalable backend systems using Python frameworks such as FastAPI, Django, and Flask. Your role will involve building, deploying, and maintaining RESTful APIs to support various front-end and mobile applications. Additionally, you will implement asynchronous jobs and background tasks, utilize multi-threading and concurrency to optimize backend performance, containerize applications using Docker, and integrate with relational and NoSQL databases. Collaboration with cross-functional teams and ensuring scalability, security, and high performance in backend systems will be crucial aspects of your responsibilities. Staying informed on the latest technologies and practices in backend development, cloud infrastructure, and data analytics will also be a key part of your role. Key Responsibilities: - Design, develop, and maintain scalable backend systems using Python frameworks such as FastAPI, Django, and Flask. - Build, deploy, and maintain RESTful APIs to support various front-end and mobile applications. - Implement asynchronous jobs and background tasks using libraries like Celery, Dramatiq, or RQ. - Utilize multi-threading and concurrency to optimize backend performance. - Containerize applications using Docker and deploy to cloud platforms such as AWS, Google Cloud, or Azure. - Integrate with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis). - Implement CI/CD pipelines for continuous integration, testing, and deployment. - Collaborate with cross-functional teams, including front-end developers, to ensure smooth and efficient system integration. - Ensure scalability, security, and high performance in backend systems, optimizing code where necessary. - Stay informed on the latest technologies and practices in backend development, cloud infrastructure, and data analytics. - Use data analytics tools to provide insights where needed, utilizing libraries such as Pandas, NumPy, or similar.,

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New York

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