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EPBCS Integration Specialist

Apolis

  • We are currently working on this requirement on a priority basis. This role is for Utility domain Client, need remote candidates but on Sincera's Payroll. Please submit W2 candidates only for this role, referral will be received after confirmation. Need your support ASAP.



    Job Title: EPBCS Integration Specialist

    Location: Remote USA (Jersey City, NJ)

    Role: Contract

    Rate: DOE

    (W2 with Sincera/Virtusa)

    Referral will be provided this role, candidate will be on our payroll.

    Client Domain: Utility Domain

    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:
  • Metadat
  • Dimensions
  • ctuals
  • Budgets
  • PIs
  • Strong SQL development skills
  • ETL tools experience such as:
  • Informatic
  • Talend
  • pache 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 metadat
  • 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
Vacancy posted more than 2 months ago

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