GIS - Data Engineer

Organization and Background

Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced ‘Indo ArcGIS’, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver GIS and location intelligence-based solutions. Headquartered in Noida (Delhi NCR), the company has 1 million users in the country and has got Great Place to Work Certified® in 2021, 2022, and 2023.

Website : www.esri.in

Role overview

Minimum 4+ Years of experience is required in Data Specialist role. Preferred to be knowledgeable with various ESRI products - ArcGIS Enterprise, Image Analyst Extension, Data Reviewer Extension.

We are seeking a highly skilled GIS Data Specialist to join our team. The successful candidate will be responsible for collecting, analyzing, and interpreting geospatial data to support informed decision-making. Having AI / ML knowledge is an added advantage.

Roles & Responsibilities

• Data Collection and Management : Search, collect, process, and manage large datasets, including GIS data, satellite imagery, and other spatial data sources. Require knowledge of image analysis techniques like band combinations, pixel depth, and image strip artifacts removal.
• Validate and ensure the accuracy, quality, and completeness of spatial data
• ETL operations : ETL operations between GIS applications / database using Esri Desktop or Server. Internally develop or collaborate with third-party vendors to deploy solutions based on business requirements.
• GIS Analysis and Mapping : Conduct spatial analysis, map creation, and geospatial model development to aid various projects and initiatives.
• Data Quality Assurance : Ensure data accuracy, completeness, and consistency through quality checks and resolution of data discrepancies using ArcGIS Data Reviewer.
• Collaboration and Communication : Collaborate closely with stakeholders, including project managers, analysts, and external partners, to comprehend data requirements.
• Create training materials and Conduct trainings to customers as required.
• Support trade shows and Esri conferences as required.
• Stay Up to Date with Industry Trends : Engage in continuous professional development to uphold expertise in GIS technology, data analysis, and AI.

Desired skillset

Non-negotiable skills