Job Description
What if AI could query your data warehouse and actually understand what the numbers mean, not just return rows? That's the infrastructure we're building, and we need a data engineer to help us scale it.
We've built a semantic layer that sits between raw operational data and AI agents, encoding metric definitions, business logic, entity relationships, data lineage, and query routing into structured knowledge that large language models can consume and reason about. The foundation is in place. Now we need someone to deepen the data models, expand entity coverage, enrich the ontology with causal relationships, and build the pipeline infrastructure that keeps it all fresh and accurate at scale.
In this role, you'll design and maintain the data infrastructure that powers AI-driven analytics for workforce Learning across Amazon's fulfillment network. That means building SQL pipelines in Redshift that process millions of daily records from nine upstream platforms, defining ...
We've built a semantic layer that sits between raw operational data and AI agents, encoding metric definitions, business logic, entity relationships, data lineage, and query routing into structured knowledge that large language models can consume and reason about. The foundation is in place. Now we need someone to deepen the data models, expand entity coverage, enrich the ontology with causal relationships, and build the pipeline infrastructure that keeps it all fresh and accurate at scale.
In this role, you'll design and maintain the data infrastructure that powers AI-driven analytics for workforce Learning across Amazon's fulfillment network. That means building SQL pipelines in Redshift that process millions of daily records from nine upstream platforms, defining ...