Python Programmer - OpenAPI/Numpy (5-10 yrs)

We are seeking a skilled and experienced Python Programmer to join our innovative development team.

The ideal candidate will bring expertise in Python programming and practical experience with tools like xlwings, OpenAPI, and NumPy.

This role involves designing and implementing cutting-edge solutions for data processing, Excel automation, and API-driven development.

Key Responsibilities :

- Develop, optimize, and maintain Python-based applications for data processing and software integration.

- Automate Excel workflows using xlwings to streamline reporting and data visualization.

- Design and implement RESTful APIs following OpenAPI specifications to enable seamless data exchange.

- Perform complex numerical computations and data manipulations using NumPy and other scientific libraries.

- Collaborate with cross-functional teams, including data scientists, analysts, and stakeholders, to gather requirements and deliver solutions.

- Write clean, efficient, and well-documented code with a focus on maintainability and scalability.

- Implement unit tests and participate in code reviews to ensure high-quality deliverables.

- Debug and resolve performance bottlenecks and other application issues.

- Document workflows, processes, and application designs for transparency and future reference.

Minimum Qualifications :

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

- 5-10 years of professional experience in Python development.

- Proficiency in xlwings for Excel automation and Python integration.

- Strong understanding of OpenAPI standards with hands-on experience in building and consuming APIs.

- Expertise in NumPy for numerical computations and data analysis.

- Solid understanding of software development principles, including OOP and design patterns.

- Familiarity with version control systems like Git.

- Strong analytical and problem-solving skills with attention to detail.

- Experience with additional Python libraries or frameworks like Pandas, Flask, or Django.

- Knowledge of cloud-based services and deployment.

- Familiarity with CI/CD pipelines for software delivery