Responsibilities:

• Design, develop, and implement well-tested, reusable, and maintainable Python code.

• ⁠Utilize various Python libraries and frameworks (e.g., FastAPI, Django, Flask, Pandas,

NumPy) to implement functionalities.

• ⁠Integrate various data sources (APIs, databases) to manipulate and analyze data.

• Optimize code for performance, scalability, and security.

• ⁠Write unit and integration tests for code coverage and stability.

• ⁠Collaborate with designers and other developers to translate requirements into efficient

solutions.

• Participate in code reviews, providing constructive feedback to improve code quality.

• ⁠Stay up-to-date with the latest Python trends, libraries, and best practices.

• Debug and troubleshoot complex issues to ensure optimal application performance.

• Proactively suggest improvements and optimizations to existing codebase.

Qualifications:

• ⁠3-5 years of experience building software applications with Python programming language.

• Strong understanding of core Python concepts, OOP principles, and data structures.

• Experience with Asyncio Python asynchronous frameworks

• ⁠Experience with relational databases (e.g., postgreSQL) and data manipulation techniques.

• ⁠Knowledge of git(SCM)

• ⁠A willingness to learn new technologies as needed.

• ⁠Knowledge of testing frameworks like pytest or unittest.

• ⁠Excellent problem-solving, analytical, and debugging skills.

• Ability to work independently and as part of a team.

• ⁠Passion for clean code and continuous improvement.

Good to have:

• ⁠Experience with CI/CD pipelines and build tools.

• ⁠Knowledge of docker container

• ⁠Experience with machine learning or data science libraries (e.g.,TensorFlow, PyTorch).

• ⁠Experience with DevOps tools