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EPBCS Integration Specialist

Remote • Posted 5 hours ago • Updated 5 hours ago

Contract W2

12 Months

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Oracle
EPBCS
Data Validation
Data Flow
Data Integration
Data Lake
Data Quality
Data Warehouse
ELT

Summary

Job Description

Job Title : EPBCS Integration Specialist

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

Work Arrangement: Remote

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: 91135616
Position Id: 9038079
Posted 5 hours ago

Contact the job poster

Umesh Shukla

Recruiter @ Sincera Technologies, Inc.

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