GIS & Digital Twin Expert

Location: Bengaluru, Karnataka 

About the Company:  

Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion. 

Role Summary:  

We are looking for a highly motivated and deeply enthusiastic GIS & Digital Twin Expert to join our organization. You need to have knowledge related to GIS or related field, with a thorough technical knowledge of GIS, Digital Twin concept, Spatial Data, Development & Database concepts. 

Key Tasks and Responsibilities:  

• Geospatial data analysis – handling and storing geospatial data. 
• Raster & Vector data file handling. 
• Conduct advanced spatial analysis, mapping, and data visualization to enable decision-support and optimize operational performance 
• Stay current with GIS, Digital Twin, cloud, and IoT trends, ensuring adoption of industry best practices and future-ready solutions 
• Collaborate with cross-functional teams: data engineers, domain specialists, software developers, and stakeholders, to achieve project goals 
• Oversee data quality, integrity, and update protocols for sustained reliability of spatial digital twin environments. 
• Integrate data from a range of sources (IoT sensors, SCADA, BIM, ERP) into Digital Twin platforms for real-time visualization, analysis, and predictive modeling 

Education:  

• Bachelor’s or Master’s degree in GIS, Geomatics, Computer Science, Engineering, or a related field. 

Skills:  

• Troubleshooting the GIS database query as per requirement. 
• Strategic vision, Strong technical and analytical capabilities. 
• Strong reporting and writing abilities. 
• Good communication, able to communicate complex concepts concisely. 

What you will do:  

• Lead the design and integration of GIS data into digital twin models for critical facilities, including data centers 
• Develop, implement, and maintain digital twin platforms to visualize, simulate, and optimize facility operations, site selection, and infrastructure management. 
• Integrate real-time and historical geospatial data (from sensors, BIM, SCADA, and IoT systems) for accurate digital representation and dynamic facility management. 
• Conduct advanced spatial analysis and scenario simulation to improve resilience, resource use, sustainability, and risk mitigation (e.g., flood, resource allocation, thermal mapping). 
• Document methodologies, workflows, and standards; train staff in digital twin and GIS best practices. 

What you bring:  

• Proficiency with GIS platforms (ArcGIS, QGIS), spatial databases, and digital twin environments (e.g., Azure Digital Twins, Siemens, Unreal Engine, Omniverse) 
• Strong expertise in geospatial data capture, visualization, and real-time monitoring for large-scale, mission-critical infrastructure. 
• Experience with handling NetCDF files, .tiff files, .shp files, geojson files. 
• Experience in GIS Developer role, QGIS, ArcGIS, ArcPy, Python. 
• Fluent in any one of the programming language e.g., Python/R/MATLAB. 
• A team player with good interpersonal skills and problem-solving abilities. 
• A self-motivator and a collaborative team player. 
• Excellent time management skills and the ability to assume leadership roles when necessary. 
• Agile, action oriented and a quick learner. 
• Out of box thinker. 

Why Join Us  

• Shape a first-of-its-kind AI + clean energy platform . 
• Work with a small, mission-driven team obsessed with impact. 
• An aggressive growth path. 
• A chance to leave your mark at the intersection of AI, design, and sustainability .