Data Engineer - Oracle data integrator and BI

Data Engineer – Oracle Data Integrator (ODI) & BI Specialist (Intermediate Level) Project: Project Sunshine Role Overview We are seeking an Intermediate‑Level Data Engineer with expertise in Oracle Data Integrator (ODI) and Business Intelligence (BI) to support the Project Sunshine initiative. This role will focus on designing, developing, and supporting data pipelines and BI solutions that enable reliable, high‑quality data delivery for analytics and reporting. Key Responsibilities Data Engineering & Oracle Data Integrator (ODI) Development Design, develop, and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI) Build and manage data integration workflows for ingesting and transforming data from multiple sources Develop reusable data integration components and frameworks Ensure data pipelines are scalable, reliable, and optimized for performance Data Pipeline Operations & Support Monitor, troubleshoot, and support production data pipelines (L2/L3 support) Perform root cause analysis (RCA) and resolve data processing issues Manage job scheduling, execution, and failure recovery processes Ensure consistent and timely data availability across platforms Data Modeling & Integration Support logical and physical data modeling aligned to enterprise standards Perform source‑to‑target mapping and define transformation logic Integrate data across enterprise systems and maintain data consistency Maintain metadata, data lineage, and documentation for pipelines and models Business Intelligence & Reporting Support Support BI reporting tools and platforms (e.g., Power BI, Tableau, or similar) Develop and optimize datasets for reporting and analytics Collaborate with BI developers to ensure accurate data delivery for dashboards Support performance optimization for reporting queries and semantic layers Performance Optimization & Data Quality Optimize ETL processes and query performance to improve efficiency Implement data quality checks, validation rules, and reconciliation processes Identify and resolve data anomalies and inconsistencies Continuously improve pipeline performance and reliability Collaboration & Delivery Work closely with data architects, DBAs, BI developers, and business stakeholders Translate business requirements into technical data pipeline solutions Participate in Agile development processes and sprint cycles Support data platform modernization initiatives within Project Sunshine Required Qualifications 3‑6 years of experience in Data Engineering, ETL development, or data integration roles Hands‑on experience with Oracle Data Integrator (ODI) Experience building and supporting enterprise data pipelines Strong experience working with large, complex datasets Technical Skills Strong SQL and data integration expertise Experience with Oracle databases and data platforms Experience with ETL/ELT tools and pipeline orchestration Experience with BI tools (Power BI, Tableau, Cognos, or similar) Familiarity with scripting or programming languages (Python, Shell, etc.) Preferred Qualifications Experience with cloud data platforms (Azure preferred) Exposure to data warehousing and dimensional modeling concepts Experience in healthcare or regulated environments Experience supporting data modernization or migration initiatives Key Success Metrics Reliable and efficient data pipeline performance High‑quality data delivery for BI and analytics use cases Reduced pipeline failures and faster incident resolutionSuccessful delivery of Project Sunshine data integration milestones Equal Opportunity Employment NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. #J-18808-Ljbffr NTT DATA North America