We are hiring a GIS-first Databricks App Engineer to build a map-centric Databricks app for oil & gas.

GIS is the top priority. If you cannot work independently with spatial data, projections, layers, and land-grid concepts, this role is not a fit — even with robust Python.

What you will build

- A Databricks-hosted map app (Cesium preferred) showing well locations and multiple geospatial layers
- Well-selection workflows that open complete well detail: surface and subsurface attributes, depth, leases, ownership, and related records
- Python + SQL pipelines that prepare, serve, and keep spatial datasets in sync with Databricks
- APIs and app logic that connect the map UI to well, lease, and ownership data

Must have
- Hands-on GIS / geospatial delivery (ArcGIS, QGIS, PostGIS, GeoServer, Mapbox, or equivalent) — this is the primary filter




- Comfort with map layers, projections/CRS, spatial joins, and location-based UIs
- Ability to represent US land / survey / OGE concepts in an application: wells, leases, ownership, county, section, township/range or equivalent land grid
- Strong Python for spatial data prep, APIs/services, and app logic
- SQL, REST APIs, JSON, Git
- Minimum 2 years of relevant experience
- 16 years full time education

Good to have
- Databricks Apps, notebooks, jobs, Spark / PySpark, Delta Lake
- Cesium (or Mapbox GL, Leaflet, OpenLayers)
- Front-end / back-end: React, Node, HTML
- Prior well, lease, or land-grid data work in oil & gas
- CI/CD with Git

📌 Databricks Engineer — Geospatial / Oil & Gas (Hyderabad)
🏢 Byte Analytics Private
📍 Hyderabad