Experience
3 - 6 yrs
Job Location
Noida, India
Vacancy
2
Designation
Python Software Developer
Job Type
Not specified
Job Description
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 (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
- 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
- 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
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