Python Lead - Server Side Component (6-10 yrs)

We are seeking an experienced Python Lead to join our team, focusing on building efficient and scalable backend applications. This role is ideal for candidates who thrive in fast-paced environments, love solving complex problems, and have a strong foundation in Python development and data processing. As a Python Developer, you will play a key role in designing, developing, and deploying server-side logic that powers our applications.

Key Responsibilities :

- Develop and maintain APIs using FastAPI, ensuring high performance and responsiveness.

- Design data processing pipelines using Pandas and NumPy for efficient data manipulation and analysis.

- Containerize applications using Docker to streamline deployment and improve scalability across environments.

- Work with PostgreSQL for data storage and management, creating efficient and optimized queries.

- Implement ORM frameworks to connect Python applications with relational databases seamlessly.

- Collaborate with cross-functional teams to define, design, and deliver new features.

- Ensure code quality and consistency through code reviews, testing, and documentation.

- Troubleshoot, debug, and upgrade existing software applications to meet evolving needs.

- Write efficient and clean code that is easily maintainable and adheres to best practices.

Required Skills :

- Python Proficiency : Strong programming experience in Python, with a focus on backend development and data handling.

- FastAPI : Experience in building APIs using FastAPI and familiarity with RESTful principles.

- Data Manipulation : Strong knowledge of Pandas and NumPy for data processing and analysis.

- Containerization : Hands-on experience with Docker to manage application deployment in containerized environments.

- Database Management : Proficiency with PostgreSQL, including the ability to write complex SQL queries and optimize database interactions.

- ORM Frameworks : Strong understanding of Object-Relational Mapping (ORM) frameworks, such as SQLAlchemy or Django ORM, to bridge Python applications with relational databases.