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Role : GeoSpatial Data Engineer

Experience : 6+ Years

Location : (Remote within India)

Work timing : 12 pm - 9 pm

Payroll – InteliStaff Services

Key Responsibilities

1. 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

2. Analytics & Decision Modeling

- Develop metrics such as: Market Opportunity Score, Competitor Pressure Index, Store Health Score
- Build models for: Trade area analysis, Cannibalization detection, Store performance prediction
- Support scenario simulations (open / close / relocate)

3. 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

4. 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

- Robust 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/43pjbh

📌 GeoSpatial Data Engineer (Nellore)
🏢 Intellistaff Services
📍 Nellore