What are the responsibilities and job description for the Data Engineer position at PiTech Solutions Inc?
Job Title: Data Engineer – Oracle Fusion & Data Platform Integration
Location: Durham, NC (Hybrid)
About the Role
We are seeking a Data Engineer to join our growing data team to help design, build, and extend our data platform. This will be a transformative modernization of its enterprise systems, including the implementation of Oracle ERP, HCM, and Utility Billing platforms, alongside Fusion Data Intelligence and Fusion Analytics Warehouse (FAW).
This role will be instrumental in enabling data extensibility, integrating third-party systems (e.g., Clariti on Salesforce, Esri GIS), and ensuring robust data governance and security practices across the data ecosystem.
Key Responsibilities
- Design and implement ETL/ELT pipelines using Oracle Data Integrator (ODI), Oracle Integration Cloud (OIC), and Fusion Analytics extensibility frameworks.
- Extend and customize Oracle Fusion Analytics data models to support city-specific reporting and analytics needs.
- Integrate third-party data sources (e.g., Salesforce, Esri, legacy systems) into the Fusion Analytics Warehouse.
- Collaborate with business analysts, application owners, and data stewards to define data requirements and ensure data quality.
- Implement and enforce data governance policies, metadata management, and data lineage tracking.
- Support the full software development lifecycle (SDLC) for data solutions, including requirements gathering, design, development, testing, deployment, and documentation.
- Ensure data security and compliance with municipal, state, and federal regulations.
- Monitor and optimize data pipelines for performance and reliability.
Qualifications
Required:
- 5 years of experience in data engineering, with a focus on Oracle technologies.
- Strong experience with Oracle Fusion Applications (ERP, HCM, Utilities) and Fusion Analytics Warehouse (FAW).
- Proficiency in Oracle Data Integrator (ODI), Oracle Integration Cloud (OIC), or similar ETL tools.
- Solid understanding of data modeling, SQL, and performance tuning in Oracle environments.
- Experience with data governance frameworks and tools (e.g., Collibra, Informatica, or Oracle Enterprise Metadata Management).
- Familiarity with integrating cloud-based and on-premise systems, including Salesforce and Esri GIS.
- Understanding of security best practices for data platforms, including role-based access control and data masking.
- Experience working in Agile or hybrid SDLC environments.
Preferred:
- Experience with Oracle Cloud Infrastructure (OCI) services.
- Knowledge of municipal operations or public sector data domains.
- Familiarity with REST/SOAP APIs and data ingestion from external systems.