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Codvo.ai

Senior AI Engineer – GIS Solutions (India) (Remote)

Posted 9 months ago
10+ years experience
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AI Summary

The Senior AI Engineer will lead the design and deployment of integrated GIS-Power BI solutions, focusing on land analytics and operational KPIs in the oil & gas sector. Responsibilities include architecting ESRI-based GIS solutions and integrating GIS data with Power BI for geospatial analytics.

Senior AI Engineer – GIS Solutions
 
Location:India
Department: Data & AI Engineering
Reports To: VP Engineering

About Codvo.ai 

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.


Role Overview
We are seeking a highly skilled GIS & BI Solution Architect with deep expertise in geospatial platforms, enterprise architecture, and business intelligence. This role will lead the design and deployment of integrated GIS-Power BI solutions supporting land analytics, lease economics, and operational KPIs in the oil & gas sector.

Key Responsibilities
•            Architect and deploy ESRI-based GIS solutions (ArcGIS Enterprise, ArcGIS Pro, ArcGIS Online, Portal for ArcGIS)
•            Integrate GIS data with Power BI for geospatial analytics and executive dashboards
•            Design and optimize spatial databases (PostgreSQL/PostGIS, SQL Server Spatial, Oracle Spatial)
•            Develop ETL pipelines using Python (GeoPandas, ArcPy, FME) and Power Query
•            Build web mapping applications using JavaScript (Leaflet, OpenLayers, ArcGIS JS API)
•            Implement REST APIs and Power BI REST API for automation and data integration
•            Lead BI architecture and reporting strategy aligned with land and lease performance metrics
•            Manage Power BI Service including workspace governance, gateway configuration, and RLS
•            Collaborate with stakeholders to translate business needs into technical solutions
•            Drive cloud-based deployments (AWS, Azure, GCP) for scalable GIS and BI systems
•            Enable self-service analytics and establish governance frameworks

Technical Skills & Tools
GIS Platforms & Architecture
•            ESRI Suite: ArcGIS Enterprise, ArcGIS Pro, ArcGIS Online, Portal
•            Enverus GIS tools, energy-specific data platforms
•            GIS infrastructure design: servers, databases, web services
•            Power BI geospatial integration
Programming & Development
•            Python: GeoPandas, Shapely, Fiona, Rasterio, PyProj, ArcPy
•            SQL/PostgreSQL + PostGIS, Advanced SQL & DAX
•            JavaScript: Leaflet, OpenLayers, ArcGIS JS API
•            REST API development, Power BI REST API, PowerShell
Data Management & Analytics
•            Spatial DB design: SQL Server Spatial, PostgreSQL/PostGIS, Oracle Spatial
•            ETL: FME, Power Query, Python scripts
•            Metadata management, data governance
•            Land, well, lease data management
•            Data warehouse design for GIS + BI
Business Intelligence
•            Power BI: DAX, Power Query, data modeling
•            ArcGIS Maps for Power BI, custom visuals
•            Executive dashboards: lease analytics, land KPIs
•            Power BI Service admin, real-time reporting, RLS
Oil & Gas Domain Expertise
•            Land ownership, mineral rights, lease/title data
•            Well spacing, drilling units, regulatory boundaries
•            Land grid systems: PLSS, Texas State Plane
•            KPI development: lease utilization, revenue/acre, auction analytics
Architecture & Design
•            Enterprise GIS & BI architecture
•            System integration: land management, ERP
•            Cloud architecture: AWS, Azure, GCP
•            Microservices, API-first design
•            Performance optimization, scalability planning

Professional Qualifications
•            8–10+ years GIS experience, 3–5 years in design/architecture roles
•            3+ years Power BI development and deployment
•            Strong stakeholder engagement and executive presentation skills
•            Proven ability to lead cross-functional teams and mentor others
•            Bachelor's/Master's in GIS, Geography, CS, Data Analytics
•            Preferred: GISP, ESRI certifications, Power BI Data Analyst Associate
•            Oil & gas industry experience highly desirable

Key Deliverables
•            Executive dashboards: land portfolio, lease economics, auction success
•            Spatial analytics: competitive landscape, acreage positions
•            Operational reports: well production, lease status, geographic overlays
•            Predictive models: land valuation, auction strategy

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