EPBCS Integration Specialist

Remote in Jersey City, NJ, US • Posted 4 hours ago • Updated 4 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • EPBCS

Summary

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

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91173660
  • Position Id: 9038177
  • Posted 4 hours ago
Contact the job poster
RG

Ravi Gupta

Recruiter @ AI ASAP LLC
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