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.

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, and Streamlit.
• Strong knowledge of Python tools/libraries including: functools, dataclasses, concurrent.futures, unittest, mock, and flasgger.
• Experience developing: Python-based services, Streamlit applications, automation scripts, and 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.