Softpath Technologies - Python Developer - Numpy/Pandas (4-6 yrs)

Position : Python Developer

Location : Ahmedabad, Bengaluru, Chennai, Coimbatore, Hyderabad, Mumbai, and Pune (Hybrid)

Experience : 5 to 6 Years

Project Contract : 12 months (Extends)

Requirements :

- Good development experience on Python engineering.

- Good hands on experience on Docker .

- Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have

- Experience on ORM, SQL Alchemy, Alembic is a must

- Experience on Writing on effective and scalable code

- Experience on Unit Testing using Pytest or equivalent framework

- A deep understanding and multi-process architecture and the threading limitations of Python.

- Familiarity with server-side templating languages including Jinja 2 and Mako.

Skills :

- Python, FastAPI, PySpark, Apache Iceberg

- SQL and relational databases

- CI/CD pipelines and automated testing frameworks

Responsibilities :

- 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.

- Collaborate with cross-functional teams to identify and solve complex problems.

- Write clean and reusable code that can be easily maintained and scaled.

- 3+ years of experience as a Python Developer with a strong portfolio of projects.

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

- 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.

- Experience with front-end development using HTML, CSS, and JavaScript.

- Familiarity with database technologies such as SQL and NoSQL.

- Excellent problem-solving ability with solid communication and collaboration skills.

- Experience with popular Python frameworks such as Django, Flask or Pyramid.

- Knowledge of data science and machine learning concepts and tools.

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

- Contributions to open-source Python projects or active involvement in the Python community.