3 Pyproj 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.,

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

Backend Developer Database PostgreSQL PostGIS:For all PostgreSQLpsycopg2 asyncpg PostgreSQL adapters PythonGDAL OGR via osgeo module T Pandas, PAWS S3/RDS/EC2 olars tabular data manipulation, NumPy Django and Django REST GeoJSON, ShapefileGeoTIFF