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# Oracle ETL Database Developer

- **Company:** Global Change Management Inc
- **Location:** Woburn, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Information Systems, Databases, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Oracle Data Service Integrator, Oracle Databases, Oracle (Applications), PL-SQL, SQL Databases, Database Performance, Oracle Service Cloud, Information Technology, Oracle Cloud Infrastructure
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/oracle-etl-database-developer-woburn-ma--7336d55c-5d5a-4092-8876-3ad385ed176a

## About the Role

Database Programming, Oracle Database, Database Extract Transform and Load (ETL), Oracle, Oracle Database, Oracle PL-SQL, Database Programming, SQL (Structured Query Language), Database Extract Transform and Load (ETL), Information Technology & Information Systems, Oracle ETL Database Developer needs 7+ years of experience as a Database Engineer, with a focus on Oracle databases, SQL, PL/SQL, Data Warehousing and ETL.

Oracle ETL Database Developer requires:

Bachelors degree in computer science, Information Technology, or related field.

7+ years of experience as a Database Engineer, with a focus on Oracle databases, SQL, PL/SQL, Data Warehousing and ETL.

Expertise in Oracle databases, SQL, and PL/SQL, particularly in the ETL processes using Oracle Data Integrator (ODI).

Strong aptitude for communication and a knack for translating complex business processes into logical technical solutions.

Knowledge of Oracle Cloud Infrastructure, Oracle Analytics Server (OAS) and Python is considered advantageous.

## Description

Design, develop, and maintain ETL processes using Oracle Data Integrator (ODI) to ensure efficient and accurate data movement and transformation.

Collaborate closely with cross-functional teams to gather requirements, analyze complex business processes, and translate them into logical technical solutions.

Optimize database performance, troubleshoot issues, and implement solutions to ensure data integrity, reliability, and scalability.

Develop and maintain documentation, including data models, process flows, and technical specifications.