Senior AI Engineer – GIS Solutions

7 hours ago


Remote, India 67dec3bf-9dde-4dc4-b487-8f582f5bd3c9 Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Senior AI Engineer – GIS Solutions

Location:India

Department: Data & AI Engineering

Reports To: VP Engineering

About

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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