Back End Developer

1 week ago

Noida, Uttar Pradesh, India Innovationm Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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

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

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