Oracle Fusion Data Migration Consultant

• Job Title: Oracle Fusion Data Migration Consultant
• Location: Los Angeles, CA (Locals only) Hybrid ( 3 days every week )
• Job Type: Contract

Job description:

• · End-to-end migration execution : Perform data extraction, cleansing, transformation, and loading (ETL) for Oracle Fusion modules such as Finance, Projects, Inventory, Order Management, Procurement, and HCM
• · Data mapping & reconciliation : Prepare and maintain data mapping documents, reconcile source and target data, and resolve discrepancies
• · Validation & testing : Validate migrated data for accuracy and completeness; support mock runs, testing, cutover, and go-live activities
• · Scripting & automation : Develop and execute SQL/PL/SQL scripts for migration tasks; use ETL tools like FBDI, HDL, ADFDI, and Oracle Integration Cloud (OIC)
• · Coordination : Work closely with functional, technical, and business teams to gather requirements, validate templates, and resolve data quality issues
• · Documentation : Help develop migration documentation, status reports, and reconciliation reports
• · Integration & system design : Design and implement system integrations using OIC or other middleware; ensure data integrity across systems

Required Skills & Experience:

• · Experience : 4+ years in Oracle Fusion ERP Cloud data migration; proven experience in at least one full-cycle Fusion implementation
• · Technical skills : Strong knowledge of SQL, PL/SQL, Oracle tables/data structures, ETL tools, and data migration methodologies
• · Tools : Proficiency with FBDI, HDL, ADFDI, ETL tools, OIC, and integration platforms
• · Analytical & problem-solving : Ability to identify and resolve data quality issues; strong troubleshooting skills
• · Communication : Excellent coordination and collaboration skills with cross-functional teams

Preferred Skills:

• · Certifications in Oracle Fusion ERP Cloud and SAP
• · Experience with additional SAP and Oracle modules (Finance, SCM, Procurement, HCM)
• · Familiarity with data governance, data quality, and reconciliation best practices