Apply on Kit Job: kitjob.in/job/445duz

Role : GeoSpatial Data Engineer

Experience : 6+ Years

Location : (Remote within India)

Work timing : 12 pm - 9 pm

Payroll – InteliStaff Services

Key Responsibilities
GeoSpatial Data Engineering
Design and implement geospatial data models integrating internal and external datasets
build scalable pipelines on Google BigQuery (GCP) for large-scale spatial analytics
Standardize spatial hierarchies (ZIP, census, trade areas, drive-time polygons)
Integrate datasets from Esri, Placer.ai, competitor POI sources, and demographic providers
Analytics & Decision Modeling
Develop metrics such as: Market Chance Score, Competitor Pressure Index, Store Health Score
Build models for: Trade area analysis, Cannibalization detection, Store performance prediction
Support scenario simulations (open / close / relocate)
Visualization & Dashboarding
Build custom geospatial dashboards using tools like: Looker / Looker Studio, Tableau, Power BI, ArcGIS JS / Mapbox
Enable drill-down capabilities from national → store → trade area
Design executive-ready,



map-first visual experiences
Data Integration & External Ecosystem
Work with multiple third-party datasets: Demographics (Esri, Census), Mobility (Placer.ai, SafeGraph), Competitor intelligence (Foursquare, AggData)
Ensure data quality, normalization, and governance

Core Technical
Solid expertise in Google BigQuery (must-have)
Advanced SQL and data modeling
Experience with GeoSpatial functions (GIS, spatial joins, polygons, shapefiles)
Python for data processing (GeoPandas, Shapely preferred)

Visualization
Hands-on experience in Tableau / Looker / Power BI
Experience with map-based visualization frameworks (Mapbox, ArcGIS JS, Kepler.gl) Domain Expertise
Experience in Retail, Location Intelligence, or GeoAnalytics
Understanding of: Trade area analysis, Customer segmentation, Mobility / foot traffic analytics

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Apply on Kit Job: kitjob.in/job/445duz

📌 Geospatial Data Engineer Nellore
🏢 Intellistaff Services
📍 Nellore