Oracle Analytics is seeking a Senior Data Modeling Engineer to join their Fusion Data Intelligence platform (FDI) team. This position is based in Pleasanton, CA with a hybrid work arrangement. FDI is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI/ML models.
As a full stack data engineer, you'll be responsible for designing and implementing data models and pipelines that power reporting, analytics, and ML models. The role involves working closely with Product Managers and Subject Matter Experts to understand business requirements, ensure data sufficiency, and deliver easily understandable data models.
The position requires expertise in data modeling best practices, big data systems (particularly Spark), and strong programming skills in Python/PySpark/Java. You'll be working on Oracle's cutting-edge analytics platform that helps customers worldwide discover deep insights about their business and make data-driven decisions with AI and machine learning.
Key responsibilities include owning deliverable quality, developing unit/integration tests, debugging data issues, and creating comprehensive documentation. You'll also monitor deployment statistics and customer feedback to identify potential improvements, while staying current with new technologies and competitive offerings.
This role offers the opportunity to work with Oracle's comprehensive suite of cloud solutions, contributing to a platform that enables businesses to improve collaboration and increase agility through data-driven insights. You'll be part of a growing team that's pushing the boundaries of data analytics and machine learning applications in enterprise settings.
Benefits include competitive compensation, comprehensive healthcare, 401(k) with company match, flexible vacation, and various insurance options. Oracle promotes an inclusive work environment and provides opportunities for professional growth and development.