Esri's ArcGIS World Geocoding solutions need to deliver global search and geocoding capabilities to organizations. The Spatial Data Engineer will work with massive spatial data to master data specifications, automate processes for acquiring and loading spatial datasets, transform those datasets into normalized data models, and work with product teams to ensure continuous quality improvements.
Requirements
- 2+ years of experience developing Python scripts or tools
- Experience writing scripts to perform spatial operations, advanced queries, and joins in SQL
- Intermediate to advanced experience working with large, normalized databases
- Experience transforming data from flat to normalized databases
- Prior experience with ETL workflows
- Ability to read data product specifications and translate into database models and tables
- Experience creating stored procedures for optimizing common tasks and operations
Responsibilities
- Analyze, enhance, prepare and load spatial data into normalized databases on regular intervals
- Write and maintain Python and SQL scripts for data processing and loading
- Evaluate new data sources for quality and attribution to support product requirements
- Review data specifications and changes, adjust scripts and processes where necessary
Other
- Ability to manage priorities and tasks as needed in a fast-paced work environment
- A keen attention to detail and drive to resolve any issues encountered
- Bachelor's in computer science, information systems, GIS, or related field
- Experience working with commercial data from data vendors such as Here, TomTom or Infutor
- Experience working with open-source spatial data such as OpenStreetMap, or Tiger/Line
- Experience working with ArcMap, ArcGIS Pro, and ArcGIS geoprocessing
- Prior experience with geocoding, geocoding data, or address data
- Knowledge of Agile software development using Scrum
- Prior experience with software development and release of commercial software product
- LI-EL1
- LI-Hybrid
