Python Software Developer

Project Overview

Prestigious Client / Project: Contributing to a high-impact digital transformation initiative for a leading telecom enterprise. The project is spearheaded by InnovationM and focuses on developing a location-based services platform using geospatial intelligence.
Revolutionizing Technologies: Leverage advanced Python frameworks (Django/Flask), spatial databases (PostGIS/PostgreSQL), GIS data processing, RESTful APIs, Redis caching, and asynchronous programming to build scalable backend systems in the geospatial domain.Agile Development: Collaborate within a fast-paced agile environment, ensuring iterative delivery, continuous integration, and seamless cross-functional coordination to enhance performance, maintainability, and system scalability.

Role and Responsibilities

• Develop backend services and APIs using Python (Django/Flask)
• Handle GIS data processing and location-based data handling
• Design scalable and secure backend architecture
• Work with spatial and relational databases (PostGIS, PostgreSQL, MySQL)
• Implement ORMs like Django ORM or SQLAlchemy
• Perform data validation, serialization, and caching (Redis)
• Optimize performance, handle asynchronous programming, and ensure clean code
• Collaborate across teams and contribute to documentation and debugging
  

Requirements

• Python Programming: Strong hands-on experience with core Python
• Django / Flask Development: Backend development using any of the mentioned framework
• RESTful API Development: Building and integrating APIs for web services
• PostGIS / PostgreSQL / MySQL: Working with spatial and relational databases
• ORM (Django ORM / SQLAlchemy): Managing database interactions efficiently
• GIS Data Processing: Handling and processing geospatial datasets
• Data Validation & Serialization: Ensuring data quality and format consistency
• Backend Architecture Design: Designing scalable and maintainable services
• Debugging & Documentation: Identifying issues and maintaining clear technical documentation

• Good-to-Have Skills:-

• Location-Based Data Handling: Managing and querying spatial/location data
• Redis / Caching: Enhancing performance through caching mechanisms
• Asynchronous Programming: Managing concurrent backend tasks efficiently
• Performance Optimization: Improving system response and load handling
• Domain Knowledge GIS / Survey Applications: Familiarity with mapping or location-based services
• Collaboration & Profiling: Working in teams and using tools for code analysis