2 of 2 Oracle ODI Jobs in Nottingham

Job Title: Oracle Fusion Data Architect Location: Nottingham (3 Days onsite) Salary: £80,000 - £90,000 DOE The Role Oracle Fusion Data Architect to lead the data strategy, architecture, integration and migration activities for Oracle Fusion Cloud implementation. Should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM … etc), strong expertise in ETL, data governance and cloud data integration tools. Key responsibilities: Define and lead the data architecture strategy for Oracle Fusion Cloud applications across various business domains Design end-to-end data solutions, including data modeling, integration architecture and migration plan for on-premise to cloud transitions Work closely with functional team and implementation partners … initiatives by ensuring data availability and consistency across systems Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle Data Integrator (ODI), Oracle Fusion Data Intelligence (FDI), Oracle Transactional Business Intelligence (OTBI) and BI Publisher Your Profile Essential skills/knowledge/experience: Strond understanding of Oracle More ❯

Infrastructure (OCI). As a key member of our team, you will be responsible for designing, implementing, and maintaining robust OCI-based analytics solutions. Your extensive experience with OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI in general will be instrumental in driving the success of our analytics initiatives and enabling data-driven decision-making. Responsibilities: Solution … Design and Development: Collaborate with cross-functional teams to understand business requirements and design end-to-end analytics solutions in OCI. Leverage your expertise in OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI services to architect scalable, performant, and reliable analytics solutions. Implementation and Optimization: Build and configure OCI-based analytics solutions, ensuring alignment with best practices … fine-tuning queries, implementing caching strategies, and designing efficient data models. Data Integration and Transformation: Work closely with data engineering teams to define and implement data integration workflows using ODI and other relevant tools. Ensure seamless extraction, transformation, and loading of data from various sources into the analytics environment. Production Support: Provide ongoing support for deployed analytics solutions, including More ❯