This position is onsite/hybrid in our Pleasanton, CA office - remote option is not available for this role.
 

Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning.

At the heart of this innovation is the Oracle Fusion Data Intelligence (FDI) platform—our next-generation evolution of Oracle Fusion Analytics Warehouse. Purpose-built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product visit https://docs.oracle.com/en/cloud/saas/analytics/25r1/index.html 

We are seeking a highly skilled and passionate Data Engineer with deep expertise in distributed data processing and a proven track record of building scalable, reliable, and performant data systems. This role will focus on designing and developing large-scale ETL pipelines, real-time streaming applications, and cloud-native data platforms that power business-critical insights. In this role, you’ll build and operate massive-scale, integrated cloud services that power our next-gen analytics platform. You'll work on a "lights-out" data pipeline—the backbone of FDI—that manages the data warehouse for customers across the globe. This is a rare opportunity to work on deeply technical problems in a cloud-native, multi-tenant environment where your work will directly impact thousands of customers and millions of users. If you’re passionate about building scalable, reliable, real-time data systems and want to make an impact, we’d love to talk.