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.
Oracle Fusion Data Intelligence platform (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 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 this position, we are seeking a full stack data engineer to join our growing team in the United States with the following skills:
As a member of the FDI Pipeline team: You will learn business/functional requirements from Product Managers/Subject Matter Experts and analyze data sufficiency. You will design/implement data models and pipelines to power reporting/analytics/ML models.
We deliver easy to explain/understand data models. You will own the quality of the deliverable, design/develop unit/integration tests, and collaborate with QA counterparts. You will debug/analyze data issues (mismatch/refresh, etc.).
You will take data debugging into consideration as part of the design. You will monitor and learn from current deployment statistics/customer feedback and advances of the underlying platform to identify potential improvements. You will learn about prior art, competitive offerings, and new technologies, and will have the opportunity to influence the features of the underlying platform. You will create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow. Career Level - IC3
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