Python Developer - Numpy/Pandas (5-6 yrs)

Key Responsibilities:

Design, develop, and implement robust and scalable Python applications.

Write clean, well-documented, and maintainable code adhering to best practices.

Develop and maintain RESTful APIs and microservices.

Participate in all phases of the software development lifecycle, from requirements gathering to deployment and maintenance.

Hands-on experience with cloud platforms such as Azure or AWS.

Experience with cloud automation and infrastructure-as-code tools (e.

, Terraform, Ansible).

Experience with serverless computing and event-driven architectures.

Leverage cloud-native services and managed services to optimize application performance and cost-effectiveness.

Implement unit tests, integration tests, and end-to-end tests to ensure code quality and reliability.

Experience with CI/CD pipelines and automated deployment tools (e.

, Jenkins, GitLab CI).

Participate in agile development methodologies and contribute to sprint planning and retrospectives.

Strong analytical and problem-solving skills with the ability to identify and resolve complex technical challenges.

Proactively identify areas for improvement and propose innovative solutions.

Stay abreast of the latest technologies and trends in Python and cloud computing.

Must-Have Skills:

Python Development: Strong proficiency in Python programming language and common libraries (e.

, Pandas, NumPy, Flask/Django).

TypeScript: Experience with TypeScript for front-end or back-end development.

Cloud Technologies: Hands-on experience with either Azure or AWS, including core services and managed services.

Coding Skills: Excellent coding practices, including code readability, maintainability, and adherence to best practices.

Good-to-Have Skills:

Object-Oriented Programming (OOP) Concepts: Solid understanding of OOP principles and design patterns.

Data Analysis: Experience with data analysis and processing techniques using Python libraries.

CI/CD: Experience with CI/CD tools and pipelines for automated testing and deployment.

Keywords: Python, Coding, TypeScript, AWS, Azure, Cloud, Serverless, API, Microservices

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