Oracle Epm Cloud Expert

Key Responsibilities
Design, develop, and support Oracle EPM Planning (EPBCS) solutions 
Demonstrate expertise in Essbase ASO and BSO concepts, including performance optimization 
Develop and maintain business rules, calculation scripts, and Groovy scripts 
Create, execute, and troubleshoot Windows batch scripts for EPM automation 
Monitor, execute, and troubleshoot batch jobs and system integrations 
Analyze and resolve data discrepancies across EPM, source systems, and reporting layers 
Perform data reconciliation between Oracle EPM, Snowflake, SAP, and other upstream/downstream systems 
Write and troubleshoot Snowflake SQL queries for data validation and issue resolution 
Collaborate with SAP teams, leveraging knowledge of SAP Central Finance (CFIN) for integration troubleshooting 
Participate in Agile SDLC activities, including sprint planning, stand-ups, reviews, and retrospectives 
Support change management, deployments, and production releases 
Ensure compliance with SOX controls, documentation standards, and audit requirements 
Work closely with finance, IT, and business stakeholders to resolve issues and improve system reliability 
 
Required Skills & Qualifications
Oracle EPM Expertise
Strong hands-on experience with: 
Oracle Planning (EPBCS) 
Essbase ASO & BSO 
EPM Automate scripting 
Advanced expertise in: 
Calculation scripts 
Groovy scripting 
Performance tuning and optimization 
 
Technical & Integration Skills
Proficiency in Windows batch scripting 
Experience executing and troubleshooting EPM batch processes 
Strong analytical and problem-solving skills for data discrepancies 
Solid knowledge of Snowflake SQL 
Experience working with SAP CFIN (integration and troubleshooting) 
 
Process & Governance
Strong understanding of Agile SDLC methodologies 
Experience with change management processes 
Knowledge of SOX compliance, controls, and audit support 
 
Soft Skills
Strong analytical and troubleshooting mindset 
Excellent communication and stakeholder management skills 
Ability to work independently in a staff augmentation model