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EPBCS Integration Specialist

AI ASAP LLCJersey City, NJ🇺🇸United StatesPosted 28 Jul 2026

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Job Title: EPBCS Integration Specialist

Location: Remote USA (Jersey City, NJ

Job Description:

Project : EPBCS to Data Lake Integration

Role Summary: We are seeking an experienced EPBCS Integration Specialist to design, develop, and support the integration of Oracle Enterprise Planning and Budgeting Cloud Service (EPBCS) with enterprise Data Lake platforms. The ideal candidate will have strong expertise in Oracle EPM technologies, data integration, SQL, ETL development, and data quality management.

 

Experience Required:

·                     5+ years of experience with Oracle EPBCS / Planning Cloud

·                     3+ years of experience in EPBCS data integration projects

·                     2+ years of experience working with Data Warehouse platforms such as Snowflake, Google BigQuery, or Azure Synapse

 

Required Skills:

·                     Strong experience with Oracle EPBCS, including:

·         Metadata

·         Dimensions

·         Actuals

·         Budgets

·         APIs

  • Strong SQL development skills
  • ETL tools experience such as:

·         Informatica

·         Talend

·         Apache Airflow

  • Experience with data quality validation and data reconciliation

 

Key Responsibilities

  • Design the EPBCS extraction and Data Lake integration strategy.
  • Develop dimension, actuals, and budget data pipelines.
  • Implement data validation and reconciliation processes.
  • Optimize integration performance and troubleshoot production issues.
  • Develop technical documentation and operational runbooks.

 

Best Practices

Data Architecture

  • Versioned dimensions
  • Incremental actuals loads
  • Budget versioning
  • Maintain lineage and metadata

 

Data Quality

  • Pre-load and post-load validation
  • Reconciliation checks
  • Row count verification
  • Data consistency validation

 

Integration Patterns

  • Full dimension extracts
  • Incremental actuals extraction
  • Budget version management

 

Performance

  • Batch exports
  • Parallel extraction
  • Bulk data loading
  • Partitioning
  • Data compression

 

Deliverables

  • Integration architecture and data flow design
  • Data mapping specifications
  • Version-controlled ETL/ELT pipelines
  • Data quality validation framework
  • Reconciliation reports
  • Operational runbooks

 

Skills

Oracle
SQL
ETL
Snowflake
Airflow
Apache
Azure
BigQuery
Budgeting
Reconciliation

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