Senior Python Developer

  • Mumbai
  • Calathea Capital

Experience – 3 to 6 years

 

We are looking for a passionate Python developer to join our team at Calathea Finserv Private Limited. You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the firm to define, design and ship new features.

As an active part of our company, you will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on challenging and innovative projects, using the latest technologies and tools. 

If you enjoy working in a fast-paced and collaborative environment, we encourage you to apply for this exciting role. We offer industry-standard compensation packages, relocation assistance, and professional growth and development opportunities. 

 

Job Description:

Objective of the role:

  • Develop, test and maintain high-quality software using Python programming language.
  • Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions.
  • Write clean and reusable code that can be easily maintained and scaled.

Tasks to be managed / Skill Set

  • Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions
  • Debugging codes when required and troubleshooting any Python-related queries.
  • Keep up to date with emerging trends and technologies in Python development. 
  • Handle REST API integrations using Python, ensuring high page responsiveness, browser/device support, modular code etc.
  • Strong SQL queries skills and experience with relational databases.
  • A working understanding of frontend technologies such as HTML, JS and CSS.
  • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.

A working understanding of cloud platforms such as AWS, Google Cloud or Azure.