• Design, build, test, and maintain ingestion pipelines for operational and geospatial data sources
• Develop transformations connecting source datasets with standardized geographic and road-network references
• Implement and maintain geospatial data models and transformations in BigQuery
• Work with GIS and ArcGIS-based datasets, including geometry and location-referencing information
• Develop ingestion patterns for REST APIs, feeds, sensor data, and external sources
• Implement automated validation and data-quality controls across pipelines
• Troubleshoot data discrepancies, transformation issues, and integration defects
• Support integration testing, data-quality triage, and defect resolution through system acceptance
• Produce technical documentation and maintainable code following engineering standards
• Collaborate with data, application, platform, and other engineering disciplines in a distributed delivery team
• Participate in code reviews, technical discussions, ticketed work, and structured delivery processes
• Use AI-assisted engineering tools responsibly for development, testing, and troubleshooting

Data Engineer building cloud geospatial pipelines and GIS data models for Applaudo’s AI-powered solutions

Data Engineer – GIS, Geospatial

Data Engineer building cloud-based pipelines and BigQuery geospatial models for Applaudo’s AI-powered business solutions.
Integrating GIS, road-network, API, sensor, and external data sources.

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Data Engineer – GIS, Geospatial