ConfigUSA

Pbcs Developer

ConfigUSAContract
Texas
10 - 15 YearsFeb 18th, 2026
19 ViewsBe an Early Applicant
Required Skillset:
OCI, REST APIs, or automation scripting

Job Description

Job Title: PBCS Developer (Oracle Planning & Budgeting Cloud Service)

Location: dallas
Experience: 10 years

hashtag#W2, #1099, hashtag#C2C
Visa: H1b, GC, USC

Role Overview

We are seeking a skilled PBCS Developer to design, develop, and support Oracle Planning and Budgeting Cloud Service (PBCS) solutions. The role focuses on

hashtag#financial hashtag#planning, hashtag#budgeting, hashtag#forecasting, and reporting automation.

Key Responsibilities
* Design and develop PBCS applications for budgeting, forecasting, and financial planning
* Build and maintain metadata, dimensions, hierarchies, and data models
* Develop business rules (Groovy), calc scripts, and allocations
* Design and manage forms, dashboards, and Smart View templates
* Integrate data using Data Management / FDMEE / REST APIs
* Perform system enhancements, performance tuning, and troubleshooting
* Support UAT, production deployments, and ongoing maintenance
* Collaborate with finance and business stakeholders to translate requirements into solutions
* Maintain documentation and follow best practices

Required Skills & Qualifications
* Strong experience with Oracle PBCS / EPBCS
* Expertise in Planning business rules, Groovy scripting, and calc logic
* Hands-on experience with Data Management, Smart View, and Financial Reporting
* Knowledge of financial planning processes (Budgeting, Forecasting, CapEx, Workforce)
* Experience with integrations and data loads
* Strong SQL / Excel skills
* Excellent analytical and communication skills

Preferred Qualifications
* Experience with hashtag#FCCS / hashtag#ARCS / hashtag

hashtag#TRCS
* Oracle EPM Cloud certifications
* Exposure to OCI, REST APIs, or automation scripting
* Prior finance or FP&A background

Nice to Have
* hashtag#Agile/hashtag#Scrum experience
* Multi-currency and multi-entity planning experience
* Performance optimization and large-model handling

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