Write and test Python code for web applications, data analysis, and automation scripts.

Collaborate with front-end developers to integrate Python-based back-end logic.

Design, develop, and deploy scalable and efficient APIs using frameworks like Flask or Django.

Implement data storage solutions using databases such as MySQL, PostgreSQL, or MongoDB.

Perform code reviews and provide constructive feedback to other developers.

Debug and troubleshoot software defects, ensuring high-quality code.

Optimize Python code for performance and scalability, addressing bottlenecks.

Write unit tests and integration tests to ensure code reliability and maintainability.

Participate in agile development processes, including sprint planning and daily stand-ups.

Contribute to technical documentation, including API documentation and user guides.

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

Work with data science teams to implement machine learning models using Python libraries like scikit-learn and TensorFlow.

Automate repetitive tasks using Python scripts to improve efficiency.

Deploy and maintain Python applications on cloud platforms like AWS, Azure, or Google Cloud.

Secure Python applications by implementing security best practices and addressing vulnerabilities.