Our client is a global leader in environmental services, specializing in water, waste, and energy management. With a strong focus on sustainability, innovation, and resource optimization, they help communities and industries build a more sustainable future. They are now looking to expand their team and are hiring an " Oracle EPBCS ". This role will be 100% Remote.
EPBCS Integration Specialist (Data Lake Integration)
Our client, a leading global provider of environmental and utility services, is seeking an experienced Oracle EPBCS Integration Specialist to design and develop integrations between Oracle Enterprise Planning & Budgeting Cloud Service (EPBCS) and enterprise cloud data platforms.
This role will focus on building scalable, high-performance data pipelines that move financial planning, budgeting, and actuals data into modern cloud data lakes for enterprise reporting and analytics.
Responsibilities
Design and implement Oracle EPBCS integration architecture.
Develop outbound integrations from EPBCS to cloud data platforms.
Build pipelines for dimensions, actuals, budgets, and forecast data.
Develop ETL/ELT processes using SQL, Python, and modern integration tools.
Implement data validation, reconciliation, and quality controls.
Optimize integration performance through incremental loads, partitioning, and parallel processing.
Produce technical documentation, mapping specifications, and operational runbooks.
Collaborate with Finance, Data Engineering, and Enterprise Architecture teams.
Required Qualifications
5+ years of Oracle EPBCS / Oracle Planning Cloud experience.
3+ years designing and developing EPBCS integrations.
Experience creating outbound integrations from EPBCS using Oracle APIs.
Experience integrating with Snowflake, Azure Synapse, BigQuery, or similar cloud data warehouses.
Strong SQL skills.
Python development experience.
Experience with ETL/ELT tools such as Informatica, Talend, or Apache Airflow.
Strong understanding of data validation, reconciliation, and financial data quality.
Preferred Qualifications
Experience with enterprise Data Lake architectures.
Knowledge of financial planning and budgeting processes.
Experience with version-controlled ETL development and CI/CD.
Familiarity with Power BI or enterprise analytics platforms.