6 Geospatial Jobs

You are a dedicated GeoSpatial Sr. Analyst MAP with 6 to 8 years of experience, specializing in Workday Integrations and Workday Finance. Your role is crucial in analyzing geospatial data and seamlessly integrating it with Workday systems to support financial operations within the organization. As a Workday Integration Expert for the DDIT HCM Program, you will drive design, prototyping, build, test, and cutover integration activities throughout the project phases, ensuring adherence to scope, quality, and timelines defined by program management. Your responsibilities include coordinating development teams from different IT Centers of Excellence for the design, build, and testing of applications within the HCM Program scope. You will analyze and interpret geospatial data to enhance financial operations within Workday systems, develop and maintain Workday integrations for smooth data flow, collaborate with cross-functional teams to understand business requirements and provide technical solutions, offer troubleshooting support for Workday Finance modules, ensure data accuracy in geospatial and financial reports, document all integrations and processes, conduct audits for improvement areas, implement data management best practices, optimize system performance, mentor junior analysts, stay updated on geospatial technology and Workday advancements, participate in project planning and execution, and maintain effective communication with stakeholders. To excel in this role, you should possess a strong understanding of geospatial data analysis and Workday integrations, demonstrate expertise in Workday Finance modules, showcase problem-solving skills, attention to detail, proficiency in data management, communication, collaboration, independence, and teamwork.,

You should have a minimum of 10 to 16 years of experience in the Telecom domain and possess a BE/B.Tech/MS/M.Tech qualification. Your technical skills should include hands-on experience in PNI SpatialNet technologies at NBN, Telstra, or similar global telcos, geospatial, location, and address management solutions in an Australian telco context, as well as network planning, design, and construction estimation. It is essential that you have excellent communication and documentation skills, along with the ability to interpret business requirements and convert them into use cases and solution architectures. You should also have strong organizational skills for workload planning and ETA management, a sense of ownership and urgency towards deliverables and deadlines, and a collaborative mindset to review and provide feedback on peer work. Moreover, you should have an understanding of the Australian telco business landscape, awareness of Australian workplace culture, and the flexibility to work during Australian business hours.,

You should have a minimum of 10 years of experience in the Telecom domain and possess hands-on experience in one or more of the following areas: - PNI SpatialNet technologies at NBN, Telstra, or similar global telcos - Geospatial, location, and address management solutions in an Australian telco context - Network planning, design, and construction estimation. Additionally, you must have excellent communication and documentation skills, along with the ability to interpret business requirements and convert them into use cases and solution architectures. Strong organizational skills are required for realistic workload planning and ETA management. You should demonstrate a sense of ownership and urgency towards deliverables and deadlines, as well as a collaborative mindset for reviewing and providing feedback on peer work. Understanding of the Australian telco business landscape and awareness of Australian workplace culture are essential. Flexibility to work during Australian business hours is also required. The position is open to candidates with a qualification of BE / B.Tech / MS / M.Tech and the location for this role is PAN India.,

Education Qualification: MBA in Marketing (preferred) or a Bachelor's degree in Engineering/Technical field. Experience: Minimum 2+ years of experience in Pre-Sales and Marketing within the GeoSpatial (GIS) industry. Key Responsibilities: Customer outreach in both Public and Private sectors through offline and online channels. Handling tendering processes and preparing high-quality proposals. Extensive travel within India for business development and pre-sales activities. Effective communication in both Hindi and English (written & spoken). Strong presentation and negotiation skills.

Role & responsibilities Strong proficiency in SQL and experience with database management systems. Strong proficiency in Geospatial Analysis. Strong proficiency in data analytics tools such as Dataiku and Tableau. Extensive experience with data modelling, data transformation, and data analysis. Strong understanding of ETL processes and data integration techniques. Good to have skills: Familiarity with programming languages such as Python is a plus. Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. Experience with version control systems like Git.

We are looking for Geospatial AI Engineer (Satellite, Drone & LiDAR Data Processing) Location - Mumbai. (WFO). Role Overview: We are looking for a Geospatial AI Engineer with hands-on experience in processing satellite, drone, and LiDAR data and deploying AI models for geospatial applications. The ideal candidate should have expertise in remote sensing, deep learning, and scalable AI deployment for real-world geospatial use cases. Key Responsibilities: - Geospatial Data Processing: Preprocess and analyze satellite, drone, and LiDAR datasets using GIS and remote sensing tools. - AI Model Development: Build, train, and fine-tune AI models for object detection, segmentation, land use classification, and anomaly detection in geospatial data. - Model Deployment & Optimization: Deploy geospatial AI models on cloud (AWS/GCP) and edge devices (Jetson, embedded systems), ensuring scalability and efficiency. - Geospatial Visualization: Utilize GIS tools (ArcGIS, QGIS, Google Earth Engine) to visualize and interpret model outputs. - Data Pipeline Automation: Develop end-to-end pipelines for geospatial AI workflows, integrating cloud storage, inference, and post-processing. - Collaboration: Work with GIS specialists, remote sensing experts, and software engineers to develop production-ready AI solutions. Required Skills: - Remote Sensing & GIS: Hands-on experience in processing and analyzing satellite, drone, and LiDAR data. - AI/ML for Geospatial Data: Proven experience in deep learning frameworks (TensorFlow, PyTorch) for geospatial applications. - Programming: Strong Python skills (Geopandas, Rasterio, OpenCV, PyTorch/TensorFlow). - Geospatial Data Processing: Experience with GDAL, PDAL, Google Earth Engine, and spatial databases (PostGIS). - Model Deployment: Hands-on experience deploying AI models on AWS/GCP/Azure and edge devices like NVIDIA Jetson. - End-to-End AI Solutions: Prior experience in deploying and maintaining geospatial AI models in real-world applications. Preferred Experience: - Proven track record of deployed models for land use classification, vegetation classification, deforestation monitoring, infrastructure mapping, flood prediction, etc. - Experience in optimizing AI models for real-time inference on cloud and edge computing platforms. - Exposure to hyperspectral/multispectral imagery and SAR data processing. - Knowledge of MLOps for managing geospatial AI pipelines. Education & Qualifications: Bachelor's/Masters degree in Computer Science, GIS, Remote Sensing, AI/ML, or a related field. 3+ years of industry experience with hands-on model deployment.