3 Folium Jobs

As a Python Developer with a strong GIS background, you will play a crucial role in our team by developing and maintaining web-based GIS applications. Your responsibilities will include managing geospatial data workflows and utilizing geospatial Python libraries to address real-world spatial challenges. It is essential that you have experience with Django, GDAL, and other Python-based geo libraries. Your key responsibilities will involve developing, maintaining, and optimizing GIS-based web applications using Python and Django. You will work with various geospatial data formats such as Shapefiles, GeoJSON, KML, and raster datasets. Additionally, you will leverage libraries like GDAL, Fiona, Shapely, Rasterio, GeoPandas, and PyProj for data processing and spatial analysis. Integration of mapping solutions and visualization tools like Leaflet.js, OpenLayers, or Folium may also be required. Creating and managing APIs for spatial data access and manipulation will be part of your role, alongside performing spatial analysis, data conversion, and coordinate system transformations. It is important that you write clean, scalable, and well-documented Python code. Collaboration with frontend developers, GIS analysts, and data engineers to implement features and resolve issues will also be essential. To excel in this role, you should demonstrate proficiency in Python with a focus on geospatial programming. Hands-on experience with Django or similar web frameworks is necessary. A strong understanding of GIS concepts, spatial databases, and coordinate reference systems is crucial. Your expertise in geospatial libraries such as GDAL/OGR, GeoPandas, Shapely, Fiona, Rasterio, and PyProj will be highly valuable. Experience with spatial databases like PostgreSQL/PostGIS is a plus. Familiarity with RESTful APIs and integrating geospatial data services is desired, along with knowledge of data formats like GeoTIFF, GeoJSON, WKT, and WKB. Your ability to efficiently handle large spatial datasets will be beneficial in this role. The ideal candidate for this position should have a minimum of 2 years of relevant experience. The salary range for this position is negotiable, with an annual package between 4,00,000 to 6,00,000 INR.,

Job Title: Data Engineer Geospatial Development Location: Kochi (Remote) Job Type: Full Time Experience: 3+ years in Data Engineering with hands-on Geospatial Development Job Summary: We are seeking a highly skilled Data Engineer with experience in geospatial data processing and visualization. The ideal candidate will have strong Python skills along with experience in geospatial platforms like ESRI ArcGIS, QGIS, and Google Earth. You should be comfortable developing map-based interfaces and visualizations using libraries such as GeoPandas, Leafmap, Leaflet, Mapbox, and Folium. This role will also involve developing robust data pipelines, managing spatial data storage, and supporting analytics and insights on geospatial datasets. Key Responsibilities: • Design, implement, and optimize spatial and non-spatial data pipelines. • Develop interactive geospatial data visualizations and dashboards using modern Python libraries and mapping tools. • Work with tools like ESRI ArcGIS, QGIS, and Google Earth to process and analyze geospatial data. • Integrate various data sources into geospatial data models and visualization platforms. • Leverage Python (GeoPandas, Folium, Leaflet, Mapbox, Leafmap, etc.) for geospatial data transformation and analysis. • Manage large spatial datasets in cloud environments (preferably Azure or AWS). • Collaborate with data scientists and analysts to deliver geospatial insights. • Ensure data integrity, performance, and security in all pipeline operations. • Document technical solutions and develop reusable components and templates. Required Skills: • 3+ years of experience in Data Engineering and geospatial development. • Proficiency in Python with geospatial libraries (GeoPandas, Shapely, Leafmap, Folium, etc.). • Hands-on experience with ESRI ArcGIS, QGIS, Google Earth, or similar platforms. • Experience with web mapping tools and interfaces (Leaflet, Mapbox). • Strong skills in SQL and working with spatial databases (PostGIS, SQL Server with spatial extensions). • Solid understanding of coordinate systems, projections, and spatial analysis techniques. • Cloud experience with services such as Azure Blob Storage, Azure Data Factory, AWS S3, or Google Cloud Storage. Preferred Qualifications: • Familiarity with ETL workflows involving spatial data. • Experience with containerization tools (Docker) and CI/CD pipelines. • Exposure to Agile methodologies and collaborative team environments. • Knowledge of metadata standards and geospatial data governance practices. • Bachelors or Masters in Computer Science, GIS, Geomatics, or a related field.

Key Responsibilities: Design, develop, and maintain ETL pipelines to ingest, clean, and transform large volumes of structured and unstructured data. Work closely with data scientists and analysts to support advanced analytics , machine learning models , and reporting frameworks . Write/Optimize SQL queries and BigQuery datasets for performance and scalability. Build and manage data marts , dashboards , and analytics-ready datasets . Ensure data quality , consistency , and security across all data processes. Apply basic statistical techniques to validate data and support analytical models. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Monitor and troubleshoot data workflows and resolve issues proactively. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, Mathematics, or a related field. Minimum 4 years of experience in data engineering or analytics roles. Strong proficiency in Python , especially with libraries like pandas, numpy, folium, scikit-learn , and experience in multi-processing/threading . Hands-on experience with MySQL and BigQuery . Solid understanding of data warehousing , ETL frameworks , and cloud-based data platforms . Familiarity with basic statistical concepts such as distributions, correlation, and regression. Experience with fleet data , IoT , or telematics is a plus. Knowledge of version control (Github) and CI/CD pipelines is desirable. Strong analytical and problem-solving skills with excellent communication abilities.