Map Developer

Role & responsibilities

• Develop interactive maps using libraries and technologies like Leaflet.js, Mapbox, Google Maps API, and OpenLayers.
• Implement H3 Indexing for spatial partitioning and optimization to improve data analysis and map rendering performance.
• Manage and optimize geospatial data querying, storage, and transformation using Snowflake and Databricks.
• Leverage DuckDB for efficient local geospatial querying and real-time analysis.
• Develop and maintain clean, scalable, and type-safe code using TypeScript for frontend and backend geospatial solutions.
• Build spatial queries, conduct geospatial analysis, and optimize pipelines for mapping and visualization tasks.
• Collaborate with data engineers and backend developers to integrate geospatial data pipelines into cloud platforms (e.g., Snowflake and Databricks).
• Work with GIS tools (QGIS, ArcGIS) to analyse and visualize large-scale spatial data.
• Integrate mapping tools with cloud platforms and automate data workflows for geospatial analytics.
• Stay up-to-date with the latest tools and technologies in cloud data platforms, geospatial mapping, and spatial data indexing.

Preferred candidate profile

• Bachelors degree in computer science, Geographic Information Systems (GIS), Data Engineering, or a related field.
• Proficiency in mapping libraries/APIs: Google Maps, Mapbox, Leaflet, OpenLayers, or similar.
• Experience with H3 Index for spatial indexing, analysis, and partitioning.
• Strong hands-on experience with Snowflake and Databricks for managing, analysing, and processing large-scale geospatial data.
• Proficiency with DuckDB for real-time geospatial querying.
• Strong programming skills in TypeScript and modern web technologies (HTML, CSS, JavaScript).
• Experience working with geospatial data formats: GeoJSON, KML, Shapefiles, and GPX.
• Familiarity with GIS software (QGIS, ArcGIS) for spatial data analysis.
• Solid understanding of SQL and experience optimizing spatial queries.
• Ability to collaborate in a cross-functional team and integrate solutions with cloud services.

Perks and benefits

• Training in Databricks.
• Support on certifications.
• Hands-on AWS, Azure, and GCP.
• Support you on any cloud certification.
• Build leadership skills.