8 Shapely 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.,

As a Geospatial Data Analyst in Bangalore, you will be responsible for processing and analyzing geospatial data related to mining, construction, urban planning, and renewable energy projects. Your role will involve integrating geospatial datasets with the image analytics pipeline, developing geospatial visualizations and insights using maps and 3D models, and working with satellite, drone, LiDAR, and GIS data to generate actionable insights. To excel in this position, you should have proficiency in Geographic Information Systems (GIS) software such as ArcGIS, QGIS, or similar tools. Knowledge of spatial data formats like GeoJSON, Shapefiles, KML, etc., and expertise in remote sensing and photogrammetry for image processing are crucial requirements. Strong programming skills in Python or R with geospatial libraries like GeoPandas, Shapely, GDAL, and Rasterio are essential for this role. Experience with Azure services for geospatial data, including Azure Maps for geospatial analytics and Azure Data Lake for storing large geospatial datasets, will be advantageous. Additionally, you should possess strong mathematical and statistical skills for spatial analysis, familiarity with drone and satellite imagery processing pipelines, and knowledge of renewable energy project requirements such as wind turbine siting and solar panel layouts. If you are passionate about leveraging geospatial data to drive insights and solutions for diverse projects, this role offers an exciting opportunity to contribute to the fields of mining, construction, urban planning, and renewable energy.,

GIS & Asset Inventory Lead Urban Flood Resilience Location: Gurgaon Work Mode: Hybrid Job Summary: We are seeking a highly skilled GIS & Asset Inventory Lead to spearhead a comprehensive geospatial assessment and mapping effort aimed at strengthening urban flood resilience. This role is central to building a robust, accurate, and actionable GIS-based inventory of storm-water infrastructure and related flood-risk data layers across the city. The ideal candidate will have deep expertise in geospatial data integration, urban hydrology, and modern GIS platforms, and will bring a strong understanding of how spatial data informs urban flood management, infrastructure planning, and emergency preparedness. You will be responsible for designing and leading a city-wide asset mapping program that captures drains, culverts, outfalls, pumps, detention basins, flap gates, encroachments, and other critical storm-water infrastructure Key Responsibilities: Leading a coordinated GIS-based mapping campaign across the city to capture storm-water and drainage infrastructure. Designing data collection templates and standardized schemas for multiple asset types such as drains, culverts, detention basins, pump stations, flap gates, outfalls, and encroachments. Overseeing the integration of diverse data sources including satellite imagery, LiDAR, digital elevation models (DEM), ground penetrating radar (GPR) records, and walkover/RTK field surveys. Creating and maintaining a high-quality, version-controlled geodatabase with rigorous QA/QC procedures and proper metadata standards. Developing thematic layers for flood-risk analysis such as impervious surface coverage, slope, infiltration potential, land use, and vulnerability indices. Setting up and maintaining a web-GIS system to serve interactive dashboards and support decision-making by engineers, planners, and emergency teams. Coordinating with municipal departments, survey agencies, and third-party consultants to ensure data consistency, spatial accuracy, and long-term maintainability of the asset inventory. Tools and Technologies Required: GIS Software: ArcGIS Pro, ArcGIS Online, QGIS Spatial Databases: PostGIS, File Geodatabases Programming/Scripting: Python (geopandas, rasterio, shapely, fiona, pandas) Field Survey Tools: GPS/RTK, Survey123, ArcGIS Collector, ODK/KoboToolbox Web-GIS Tools: GeoServer, ArcGIS Enterprise, Leaflet, Mapbox Other: Experience handling LiDAR/DEM data and managing spatial metadata Required Experience: 710 years of professional experience in GIS, with a strong focus on urban hydrology, flood risk mapping, or municipal infrastructure . Proven experience in leading large-scale, city-wide GIS projects , especially those involving drainage systems or urban asset management. Experience working with or for municipal governments, Smart Cities, AMRUT projects, or donor-funded urban infrastructure projects (e.g., World Bank, ADB, JICA) is highly desirable. How to Apply: Please share your resume on [HIDDEN TEXT] Show more Show less

Responsibilities Contribute to the development of GIS and Remote Sensing inputs for EES models. Prepare and manage large-scale GIS datasets with a focus on accuracy, completeness, and usability. Perform digitization, editing, geo-referencing, re-projection, and raster/vector conversions. Conduct advanced remote sensing tasks such as image classification (supervised/unsupervised), topology validation, and data processing from satellite, aerial, and LiDAR sources. Develop and maintain spatial databases and geospatial repositories for model development. Source, extract, and preprocess elevation, land use/land cover, soil, and infrastructure exposure data from multiple portals and repositories. Perform raster-based spatial analysis and apply advanced geoprocessing techniques to extract relevant model insights. Automate GIS workflows using Python and related libraries for efficiency and repeatability. Collaborate with data scientists and modelers to integrate ML/DL models for building footprint extraction, land use classification, and related geospatial predictions. Interpret, analyze, and validate geospatial results and present them through well-documented reports, maps, charts, and dashboards. Work closely with cross-functional teams to support flood, earthquake, and other risk modeling initiatives. Ensure compliance with industry best practices and internal standards throughout the project lifecycle. Contribute to technical documentation and client-ready deliverables with high quality and professionalism. Qualifications Educational Background: M.Tech / M.Sc / B.Tech in Geo-Informatics, Geography, Remote Sensing & GIS, or related fields in Spatial Technologies Experience 35 years of relevant experience in GIS and Remote Sensing projects Must-Have Skills Proficient in ArcGIS Desktop, ArcGIS Pro, QGIS, ERDAS Imagine, IDRISI, and Google Earth Pro Familiarity with ArcGIS extensions (Spatial Analyst, 3D Analyst, Image Analyst, Network Analyst) Strong skills in raster processing, remote sensing, and spatial data analytics Solid programming experience in Python, especially using geospatial libraries: ArcPy, GDAL, Rasterio, GeoPandas, pyogrio, Fiona, Shapely, PyProj, etc. Good knowledge of SQL and R for spatial queries and data analysis Basic understanding of Machine Learning, Deep Learning, and AI techniques applied to spatial data Experience in designing, developing, and managing geospatial databases Strong communication skills for technical documentation, team collaboration, and presentations Ability to work both independently and collaboratively in a research and development environment Proactive and eager to learn, adapt, and contribute to innovation in catastrophe modeling Nice-To-Have Experience with WebGIS and ArcGIS Enterprise Exposure to C#, HTML, CSS, ReactJS, Javascript, PHP/NodeJS, POSTGIS/Geoserver, MATLAB, Power BI, or ProjectPlace Familiarity with geostatistical methods, data mining, and advanced spatial statistics Strong problem-solving and project management skills Interest in catastrophe modeling, insurance, and risk analytics Certifications in GIS/Remote Sensing/Data Science/AI About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you&aposll have the chance to use your voice and build a rewarding career that&aposs as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, weve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a Worlds Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. Were 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran&aposs status, age or disability. Verisks minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice Show more Show less

You are a skilled Python Developer with hands-on experience in FastAPI and a strong foundation in cloud computing. Proficient in MongoDB and PostgreGIS for backend development and geospatial data handling, you will collaborate with cross-functional teams to build, optimize, and deploy scalable microservices. Your key responsibilities include developing high-performance backend services and RESTful APIs using FastAPI, integrating MongoDB and PostgreGIS for scalable database solutions and geospatial data storage, processing, and querying, collaborating with frontend developers, optimizing database queries, deploying applications on cloud platforms, ensuring API security and performance optimization, debugging and resolving backend issues, and documenting development processes. Stay updated with the latest Python, FastAPI, and cloud technologies. Required skills and qualifications include proficiency in Python with FastAPI experience, strong knowledge of MongoDB and PostgreGIS, familiarity with basic cloud computing services, experience in designing RESTful APIs, hands-on experience with Docker and Kubernetes (preferred), knowledge of CI/CD pipelines and Git, and a strong understanding of database optimization techniques. Preferred qualifications include experience with cloud platforms for microservices deployment, familiarity with NoSQL and SQL databases, knowledge of geospatial data processing libraries, experience with asynchronous programming, familiarity with monitoring tools, and understanding of microservices architecture and API Gateway management. Soft skills required are strong problem-solving skills, effective communication and collaboration, ability to adapt to an agile environment, and proactive approach to technical challenges. You should have at least 5 years of professional experience in backend development with Python & FastAPI and proven expertise in handling geospatial data and developing scalable applications. Join us to work on innovative projects with cutting-edge technologies, in a collaborative and supportive work environment with a focus on growth. Enjoy flexible work hours and a culture of creativity and innovation, along with competitive compensation and career advancement opportunities. This is a full-time position located in person.,

You will be working offshore as part of an onsite delivery model, focusing on supporting the integration and analysis of spatial datasets through your expertise in Python, PySpark, and geospatial data processing. Your role will involve developing and maintaining scalable ETL pipelines, working with large geospatial datasets from various sources, integrating geospatial data with enterprise systems, and optimizing queries and data transformations for performance and accuracy. Additionally, you will collaborate with data scientists, GIS analysts, and business users to deliver data solutions, troubleshoot data issues, and support production data workflows. Your strong hands-on experience with PySpark, advanced Python programming skills, and familiarity with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL will be crucial for this role. You should also have knowledge of spatial databases like PostGIS or GeoServer, experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP preferred), and a solid understanding of data structures, algorithms, and spatial indexing. It would be beneficial to have familiarity with MapReduce, Hive, or Databricks, prior experience in geospatial analytics, remote sensing, or urban planning domains, and knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes). Strong soft skills such as excellent communication and collaboration abilities, a problem-solving mindset, attention to detail, and the ability to work independently in a client-facing onsite role will also be essential for success in this position.,

You are a Data Collection Specialist with expertise in LiDAR technology, Python programming, and hands-on field experience. Your main responsibility is to collect, process, and analyze geospatial data to ensure high-quality deliverables for various projects. This role involves technical fieldwork, data handling, and programming primarily in Python to facilitate accurate data capture and analysis. You will operate LiDAR equipment and sensors in the field for accurate geospatial data collection. Additionally, you will set up, test, and maintain equipment such as UAVs, LiDAR scanners, and GPS units to ensure proper operation for data collection tasks. Post-processing raw LiDAR data and integrating it into GIS systems is also part of your responsibilities, ensuring data integrity and accuracy. You will develop and utilize Python scripts to automate data processing tasks, enhance workflows, and perform data quality checks. Collaborating with teams of geospatial engineers, surveyors, and field technicians to collect data from multiple project sites is essential. You will prepare reports and maintain documentation for all data collection activities to ensure transparency and traceability. Monitoring the quality and completeness of data collected, troubleshooting any equipment or software issues in real-time, adhering to field safety protocols, and ensuring compliance with industry regulations and project guidelines are crucial aspects of the role. You should have a Bachelor's degree in Geospatial Science, Engineering, Surveying, or a related field, along with 2+ years of experience with LiDAR systems, data collection, and processing. Proficiency in Python programming for data processing and automation, experience in field technician duties, and familiarity with LiDAR data collection and post-processing software are required. Strong knowledge of Python and geospatial libraries, understanding of GIS systems and tools, and soft skills such as attention to detail, problem-solving, and excellent communication skills are essential for this role. LiDAR Technician Certification, Python Programming Certification, and UAV Pilot Certification are preferred but not required. This position involves frequent travel to project sites, including outdoor environments and various weather conditions. Fieldwork may require physical activity, including lifting and carrying technical equipment. You will receive a competitive salary and benefits package, opportunities for professional development and certification, and the chance to work on cutting-edge projects in geospatial data and technology.,

Experience: 58 years Start Date: Immediate or within 15 days Employment Type: Contract Full-time (as applicable) Job Overview We are seeking highly skilled GIS Data Engineers with strong expertise in Python , PySpark , and geospatial data processing to support the integration and analysis of spatial datasets. The selected candidates will work on large-scale data engineering projects in a distributed environment, focusing on building pipelines and workflows that support geospatial analytics and visualization. Key Responsibilities Develop and maintain scalable ETL pipelines using PySpark and Python for processing GIS and spatial datasets Work with large geospatial datasets from various sources (e.g., shapefiles, GeoJSON, raster formats, satellite data) Integrate geospatial data with enterprise systems (e.g., PostgreSQL/PostGIS, Big Data platforms) Optimize queries and data transformations for performance and accuracy Collaborate with data scientists, GIS analysts, and business users to deliver data solutions Implement best practices for data quality, versioning, and lineage in spatial data pipelines Troubleshoot data issues and support production data workflows Required Skills Strong hands-on experience with PySpark (Apache Spark with Python) Advanced Python programming skills, especially in data handling and automation Experience with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL Proficient in working with GIS formats (shapefiles, raster data, GeoTIFFs, KML, etc.) Knowledge of spatial databases like PostGIS or GeoServer Hands-on experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP preferred) Strong understanding of data structures, algorithms, and spatial indexing Nice To Have Familiarity with MapReduce, Hive, or Databricks Prior experience in geospatial analytics, remote sensing, or urban planning domains Knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes) Soft Skills Excellent communication and collaboration abilities Problem-solving mindset and attention to detail Ability to work independently in a client-facing onsite role Skills : postgis,rasterio,azure,gcp,shapely,fiona,big data platforms,pyspark,gis,geopandas,gdal,aws,python