Drone Data Processing Engineer

Company Description Aerovania Private Limited is an Engineering Intelligence company specializing in advanced geospatial, AI, and autonomous aerial solutions for critical infrastructure. The organization integrates UAV systems, LiDAR, photogrammetry, GIS, computer vision, and data analytics to transform complex spatial data into high-accuracy engineering intelligence for the full infrastructure lifecycle. Its capabilities include precision drone surveying, LiDAR topographic mapping, 3D reality capture, digital twins, AI-powered visual analytics, and intelligent asset inspection for government and industrial clients. Aerovania focuses on indigenous technologies that drive precision, automation, and innovation, helping stakeholders improve situational awareness, operational efficiency, safety, and digital transformation. The company serves sectors such as transportation, mining, energy, urban infrastructure, forestry, and defence with scalable, decision-ready solutions.
Role Description This is a full-time, on-site role based in Raipur for a Drone Data Processing Engineer. The role involves processing and managing data from UAV surveys, including LiDAR point clouds, photogrammetry outputs, and geospatial datasets to generate accurate maps, models, and analytics. The engineer will design and maintain data pipelines, perform data cleaning and transformation, and implement workflows for ETL and data warehousing specific to drone-derived datasets. Daily responsibilities include building and optimizing data models, supporting GIS and digital twin solutions, collaborating with survey and operations teams to ensure data quality, and preparing visual and analytical reports for engineering and client stakeholders. The role also includes contributing to automation of data processing, validating outputs against project specifications, and supporting continuous improvement of Aerovania’s geospatial and analytics platforms.
Qualifications
Candidates should possess strong skills in Data Engineering and Extract Transform Load (ETL) for building reliable, scalable data pipelines from UAV and geospatial sources.
Candidates should possess skills in Data Modeling and Data Warehousing to structure, store, and optimize drone-derived datasets for analysis and retrieval.
Candidates should possess skills in Data Analytics to interpret processed spatial and engineering data, generate insights, and support decision-making for infrastructure projects.
Proficiency with geospatial tools and formats (e.g., GIS software, point clouds, raster/vector data, coordinate systems) is highly beneficial.
Experience with programming or scripting languages used in data processing (such as Python, SQL, or similar) and familiarity with automation workflows is preferred.
Bachelor’s degree or higher in Engineering, Computer Science, Geoinformatics, Data Science, or a related technical field, or equivalent practical experience.
Strong analytical skills, attention to detail, and ability to work collaboratively with multidisciplinary teams on-site.
Experience with UAV data, LiDAR processing, photogrammetry, or infrastructure

Work arrangement
No