This position is onsite in Pleasanton CA - Remote is not an option. Visa sponsorship is not available
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 details about the product visit part of Data Pipeline AI Engineering team you will design model data solutions and build AI agents to support analytics machine learning and task automation. The role is a full stack engineer role focused on various technologies related to Data Engineering and Web applications.
Qualifications
Developing AI Application: Design Build different AI Agents Chatbots Workflows to support various data pipeline configurations.
Developing Data Solutions: Implement and enhance data-driven solutions to integrate massive amounts of data in real-time/batch mode from various data producing systems using state-of-the-art tools such as OCI Data Flow OCI Data Integration Spark and Kafka. Embrace modern data architecture philosophies including data products data contracts and data mesh to ensure a decentralized approach to data management. Expert in Advanced SQL and PL/SQL for data analysis and testing data gaps & data quality
Data Pipeline Development: Develop and optimize high-performance batch and real-time data pipelines employing advanced streaming technologies like Kafka NoSQL and Oracle ETL Tools to address challenges associated with large-scale data processing and analysis.
Cloud Data Management: Implement and oversee cloud-specific data services including Autonomous Data Warehouse OCI Object Storage with Parquet and Delta-Tables and OCI Streams. Leverage cloud architectures to improve data sharing and interoperability across different business pillars
Security and Compliance: Ensure all data practices comply with security policies and regulations embedding security by design in the data infrastructure.
Incorporate tools and methodologies recommended for data security and compliance ensuring robust protection and governance of data data governance security and compliance: lineage cataloguing DQ checks PII protection and privacybydesign
Collaboration: Work with onsite and offshore development and QA teams cross functional teams to define interfaces build integrations implement highly scalable high quality features
Career Level - IC3
Required Experience:
Senior IC
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