Python Developer Salary In Kerala 2025

 Python Developer

        

As of January 2025, the average annual salary for a Python Developer in Kerala is approximately ₹2,52,675.

Salaries can vary significantly across different cities within Kerala:

  • Thiruvananthapuram: ₹7,37,809 per year

  • Kochi: ₹4,14,506 per year

  • Thrissur: ₹3,59,029 per year

  • Calicut: ₹3,58,171 per year

  • Ernakulam: ₹3,42,496 per year

  • Kannur: ₹2,66,375 per year

  • Palakkad: ₹2,52,927 per year

  • Kozhikode: ₹1,71,465 per year

In Kochi, Python Developers with less than 1 to 4 years of experience earn between ₹1 lakh and ₹5.6 lakhs annually.

For comparison, experienced Python Developers in India can earn between ₹12,00,000 and ₹20,00,000 annually, depending on their specialization and industry.

These variations are influenced by factors such as experience, specific skill sets, industry demand, and the size of the employing organization.

A Python Developer is responsible for designing, developing, testing, and maintaining applications using Python. Their role may vary based on the industry and company needs, but common responsibilities include backend development, data analysis, automation, and working with frameworks like Django or Flask.


Key Responsibilities of a Python Developer:

1. Software Development & Coding

  • Write clean, scalable, and efficient Python code.

  • Develop, test, and maintain applications, APIs, and scripts.

  • Debug and troubleshoot issues in existing code.

2. Backend Development

  • Build and maintain server-side applications using frameworks like Django, Flask.

  • Optimize database queries and interactions using SQL (PostgreSQL, MySQL) or NoSQL (MongoDB).

3. Data Handling & Integration

  • Work with databases and data structures to store and retrieve information efficiently.

  • Integrate third-party services, APIs, and cloud-based solutions.

  • Handle data processing, transformation, and analytics using libraries like Pandas and NumPy.

4. Automation & Scripting

  • Automate repetitive tasks and processes using Python scripts.

  • Develop web scrapers and bots for data extraction.

  • Implement DevOps automation tools (CI/CD pipelines, Docker, Kubernetes).

5. Performance Optimization & Security

  • Implement security best practices to protect applications from threats.

  • Conduct code reviews and write unit tests using PyTest or Unittest.

6. Collaboration & Documentation

  • Contribute to technical documentation and maintain code repositories (Git, GitHub).

  • Participate in agile development processes (Scrum, Kanban).

  • Optional Responsibilities (Based on Role)

  • Machine Learning & AI – If working in data science, build ML models using TensorFlow, Scikit-learn, or PyTorch.

  • Full-Stack Development – Collaborate with frontend technologies like React, Vue, or Angular.

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