06 Aug
|
Important Business
|
Bengaluru
06 Aug
Important Business
Bengaluru
Job Description for Full Stack Developer
We are seeking a highly skilled Full Stack Developer to design, build, and maintain interactive DSS, platforms and dashboards that integrates remote sensing data, AI -driven analytics, and real -time environmental monitoring.
Key Responsibilities:
- Develop and maintain scalable web -based applications and dashboards to visualize urban heating patterns, aquaculture mapping and real -time analytics.
- Design robust back -end systems to manage large geospatial datasets, real -time sensor feeds, and AI model outputs.
- Work with data scientists and image analysts to integrate remote sensing products, AI results, and spatial layers into the application.
- Implement APIs for data ingestion, processing, and delivery from various sources (e.g., satellites, IoT sensors, weather systems).
- Ensure responsive front -end design with intuitive visualizations of heat maps, time -series graphs, and spatial analytics.
- Optimize application performance, security, and scalability in cloud or hybrid environments.
- Collaborate with GIS team and contribute to technical documentation, version control, and continuous integration pipelines.
Requirements
- Master’s degree in Computer Science, Software Engineering, Geo informatics, Geospatial Data Science or related field.
- 3 -5 years of experience in full -stack web development with proven experience in data -heavy applications.
- Solid proficiency in Python for back -end development and data processing (Flask, Django, or FastAPI); experience building services that integrate AI/ML outputs.
- Proven experience with Node.js, Express.js and RESTful API development for building backend services.
- Hands -on experience with front -end technologies (React.js) data visualization libraries and mapping frameworks such as D3.js, Leaflet, Mapbox GL, or Deck.gl.
- Experience working with spatial databases (PostGIS, MongoDB, etc.) and cloud services (AWS, Azure, GCP).
- Understanding of remote sensing data structures, raster/ vector handling, and integration of geospatial analytics.
- Familiarity with AI/ML model deployment and real -time data integration (e.g., MQTT, WebSockets).
- Familiarity with ETL based Workflows (Preferable)