Python Developer

Role Overview

We are looking for an experienced Python Developer with strong hands-on expertise in Python coding, Streamlit, Flask, and FastAPI. The candidate will be responsible for developing Python-based services, Streamlit applications, automation scripts, API integrations, and data-processing solutions.

The role requires strong programming fundamentals, problem-solving ability, and practical experience with Python frameworks, libraries, scripting, SQL, and data-related concepts.

Evaluation Weightage Skill / TopicMandatoryWeightagePython CodingYes60%StreamlitYes40%Total100% Must-Have Skills

• 5+ years of IT experience, with strong hands-on Python development experience.


• In-depth understanding of Python programming and coding.


• Hands-on experience with:
  
  
  
  • Flask
  
  
  • FastAPI
  
  
  • Streamlit
  
  
  
  


• Strong knowledge of Python tools/libraries including:
  
  
  
  • functools
  
  
  • dataclasses
  
  
  • concurrent.futures
  
  
  • unittest.mock
  
  
  • flasgger
  
  
  
  


• Experience developing:
  
  
  
  • Python-based services
  
  
  • Streamlit applications
  
  
  • Automation scripts
  
  
  • API integrations
  
  
  
  


• Experience using Python to call APIs, process responses, validate results, and handle errors.


• Strong knowledge of SQL.


• Experience with Shell Scripting and Python automation.


• Understanding of Business Intelligence and Data Warehousing concepts.


• Good understanding of data modelling.


• Strong analytical and problem-solving skills.


• Good communication and stakeholder-management skills.

Key Responsibilities

• Design, develop, test, and maintain Python applications and services.


• Write clean, scalable, reusable, and maintainable Python code.


• Develop interactive Streamlit applications for business and analytical use cases.


• Build REST APIs and backend services using Flask and FastAPI.


• Develop Python automation scripts to reduce manual activities and improve operational efficiency.


• Integrate with internal and external APIs using Python and validate API responses.


• Implement proper error handling, logging, validation, and exception management.


• Use Python libraries such as functools, dataclasses, concurrent.futures, unittest.mock, and flasgger as appropriate.


• Develop unit tests and mock external dependencies for reliable application testing.


• Create API documentation using Flasgger/Swagger.


• Work with SQL for querying, data validation, transformation, and analysis.


• Develop Shell/Python scripts for automation and operational activities.


• Work with Business Intelligence and Data Warehouse concepts and data models.


• Participate in data modelling and development of data-driven applications.


• Troubleshoot performance, memory, concurrency, and application-level issues.


• Participate in Agile/Scrum ceremonies, sprint planning, code reviews, and technical discussions.


• Collaborate with business analysts, data engineers, developers, and other stakeholders to understand requirements and deliver solutions.

Technical Skills

Mandatory:

• Python


• Python Coding


• Streamlit


• Flask


• FastAPI


• SQL


• Shell Scripting


• REST APIs


• Data Modelling


• Business Intelligence / Data Warehousing

Python Libraries / Tools:

• functools


• dataclasses


• concurrent.futures


• unittest.mock


• flasgger

Good to Have:

• Pandas


• NumPy


• Pytest / unittest


• Git


• CI/CD


• Docker


• Cloud platforms


• API authentication and security


• Agile/Scrum