Cloud Data Warehouse Developer - OCI/ADW & Analytics

Rutgers University; New Brunswick (NJ); Hybrid; USD 122,000 - 176,000; Full time

Benefits offered by this job

Medical, prescription drug, and dental

Paid vacation and holidays

Retirement benefits

Educational benefits

Life insurance

Employee discounts

Job summary

Rutgers University is seeking a Data Warehouse Developer in the Enterprise Applications and Research Computing (EARC) – Data Management team. This role supports the Oracle Fusion Data Intelligence platform, OCI initiatives, and enterprise data assets across multiple business domains.

You will design secure, scalable data integrations and contribute to migration from on-prem to cloud environments. The position emphasizes data modeling, governance, and collaboration with cross-functional teams to

Qualifications

• Degree in CS/IS/Analytics or related field.
• Seven years of experience in data management, data engineering, or enterprise analytics.

Responsibilities

• Design and implement data warehouse architecture and data models.
• Migrate and modernize data pipelines and analytics platforms.
• Develop scalable data integration using Oracle Fusion/OCI.
• Ensure data governance and role-based access controls.
• Collaborate with IT and campus units to deliver reporting solutions.

Skills

SQL

Data modeling

ELT/ETL

Cloud data architecture

Data governance

Documentation

Security & IAM

Education

Bachelor's degree in CS/IS/Data Analytics

Tools

Oracle Cloud Infrastructure (OCI)

Oracle Integration Cloud (OIC)

Oracle Fusion Data Intelligence (FDI)

ODI

IDCS / OCI IAM

Job description

Rutgers University is seeking a Data Warehouse Developer in the Enterprise Applications and Research Computing (EARC) – Data Management team. This role supports the Oracle Fusion Data Intelligence platform, OCI initiatives, and enterprise data assets across multiple business domains.

You will design secure, scalable data integrations and contribute to migration from on-prem to cloud environments. The position emphasizes data modeling, governance, and collaboration with cross-functional teams to