Map Developer

Job Description

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.