Oracle Fusion Transformation Support Engineer

Reporting to the project lead, this position is responsible for supporting ERP data conversion, transformation, and migration initiatives from legacy systems such as Epicor, Microsoft Dynamics AX, Syteline, and others into Oracle Fusion ERP., Support end-to-end data conversion strategy and execution for Oracle Fusion implementations.

• Design, develop, and maintain data extraction, transformation, and loading (ETL) processes.
• Analyze legacy ERP data structures (Epicor, Dynamics AX, Syteline, etc.) and map to Oracle Fusion data models.
• Collaborate with business and functional teams across value streams (Finance,
• Supply Chain, Manufacturing, etc,)
• Ensure data quality, validation, and reconciliation throughout migration cycles.
• Automate data transformation processes using Microsoft Azure tools and scripting (T-SQL, Data Factory).
• Support testing cycles including SIT, UAT, and cutover activities.
• Coordinate with cross-functional teams and stakeholders
• Support source-to-target mapping and transformation logic
• Support data profiling, cleansing, and quality remediation
• Support mock conversions, testing cycles, and production migration
• Support reconciliation, validation, and audit processes
• Execute cutover planning and post-go-live support

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 8+ years of experience in ERP data conversion and transformation.
• Strong expertise in Oracle Fusion data structures and data migration tools (FBDI).
• Hands-on experience with legacy ERPs (Epicor, Dynamics AX, Syteline, Oracle EBS, etc.).
• Advanced SQL and data manipulation capabilities.
• Experience with ETL tools (Azure Data Factory, Stored procs, views).
• Strong analytical and troubleshooting skills.

Preferred Qualifications

• Experience in multiple full-cycle Oracle Fusion implementations.
• Knowledge of cloud integration tools (FBDI).
• Experience working in Agile delivery environments.
• Understanding of data governance and master data management principles.

Value Stream Experience

• Finance (GL, AP, AR, Fixed Assets)
• Supply Chain (Procurement, Inventory, Order Management)
• Manufacturing (Work Orders, BOM, Costing)
• Human Capital Management (optional, if applicable)

Technical Skills

• SQL, PL/SQL
• Data migration tools (FBDI, HDL, ADFdi)
• Microsoft Azure (SQL database, Data Factory Pipeline)

Soft Skills

• Strong communication and stakeholder engagement
• Ability to translate business requirements into technical solutions
• Leadership and mentoring
• Problem-solving mindset