Geographic Information System Developer (Angular)- Immediate Joinners

PineQ Lab Technology; Dadri; On-site; INR 900,000 - 1,400,000; Full time

Job summary

PineQ Lab Technology is seeking an experienced GIS Developer to build geospatial web applications using Angular. You will implement interactive map interfaces, integrate GIS services, and work with spatial data to deliver robust GIS solutions.

The role requires hands-on GIS web development, knowledge of GIS data formats, and experience with REST APIs. Collaboration with GIS analysts and UI/UX teams is essential, along with maintaining coding standards and deployment readiness.

Qualifications

• Experience building geospatial web applications and interactive maps.
• Strong frontend development skills with Angular and modern web GIS technologies.
• Practical knowledge of GIS concepts, spatial data, and map services.

Responsibilities

• Design, develop, and maintain GIS-based web apps using Angular.
• Build responsive, interactive map UIs with performance in mind.
• Integrate GIS services (map/feature services, geocoding, routing, spatial analysis) into web apps.
• Consume GIS REST APIs and map services to display spatial data.
• Develop reusable Angular components, modules, and services following best practices.
• Collaborate with GIS analysts and backend teams to deliver scalable GIS solutions.
• Debug, troubleshoot, and resolve GIS integration issues.
• Participate in code reviews and uphold coding standards.
• Support deployment, maintenance, and production issue resolution.

Skills

Angular

RxJS

Angular Material

Frontend architecture

Responsive design

Education

Bachelor's in CS or Geospatial

Tools

GeoJSON

WMS/WFS

REST APIs

Spatial databases

Docker

Kubernetes

Job description

We are looking for an experienced GIS Developer with strong expertise in Angular and modern web GIS technologies. The ideal candidate will have hands‑on experience in developing geospatial web applications, integrating GIS services, and building interactive mapping solutions using Angular. The candidate should possess strong frontend development skills along with a solid understanding of GIS concepts, spatial data, and map services.

Key Responsibilities

• Design, develop, and maintain GIS-based web applications using Angular.
• Build responsive and interactive map-based user interfaces with a focus on performance and usability.
• Integrate GIS services such as map services, feature services, geocoding, routing, and spatial analysis into web applications.
• Consume REST APIs and GIS web services to display and manipulate spatial data.
• Develop reusable Angular components, modules, and services following best practices.
• Work with spatial databases and geospatial datasets to support business requirements.
• Implement map editing, querying, filtering, spatial search, and visualization functionalities.
• Collaborate with GIS analysts, business users, backend developers, and UI/UX teams to deliver scalable GIS solutions.
• Debug, troubleshoot, and resolve application and GIS integration issues.
• Participate in code reviews and ensure adherence to coding standards and development best practices.
• Support application deployment, maintenance, and production issue resolution.

Required Technical Skills

Frontend Development

• Strong experience with Angular (v19 or above).
• Experience with RxJS, Angular Material, and responsive web design.
• Strong understanding of component-based architecture and state management.

GIS Technologies

• Hands‑on experience with GIS web application development.
• Knowledge of spatial data formats including GeoJSON, Shapefile, KML, WMS, WFS, and WMTS.
• Experience consuming GIS REST APIs and map services.
• Understanding of coordinate systems, projections, spatial indexing, and geospatial analysis.

Good to Have

• Experience with ArcGIS Enterprise, ArcGIS Online, or Portal for ArcGIS.
• Knowledge of WebGL‑based mapping frameworks.
• Experience with real‑time GIS data integration and visualization.
• Familiarity with geoprocessing services and spatial analytics.
• Experience working with satellite imagery, raster datasets, or LiDAR data.
• Exposure to Docker, Kubernetes, and microservices architecture.
• Knowledge of authentication mechanisms such as OAuth 2.0, SAML, or JWT.