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About
The Data Engineer is the bedrock of intelligence operations, responsible for turning raw, unstructured data into actionable intelligence. You will embed directly with clients to build the data pipelines that power AI workflows. We build systems that don't just move data, but do it with the speed and reliability required for live and automated intelligence. Ultimately, you'll create the foundations that will influence key strategic decisions for us and our customers. Key Responsibilities ETL/ELT Pipelines:
Architect and deploy pipelines to ingest, transform, and store data from high volume, disparate sources for real-time analysis Build for the Enterprise:
Create a highly reliable single source of truth for enterprise intelligence and enablement AI Workflow Enablement:
Architect and optimize production-grade data foundations to support high-performance AI workflows and automated decision-making. Operations & Governance:
Establish and automate strict data security, quality assurance, and governance processes. Design systems for high fault tolerance and rapid disaster recovery Efficiency:
Design and model for efficient queries, resource usage, workload scheduling, and cost
Languages
- English
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