Data Engineer

Develop and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI) to process data across multiple sources

Work with Oracle AI Data Platform for advanced data processing and analytics workflows

Build integrations between Oracle Autonomous Data Warehouse, PostgreSQL, SQL Server, and Redshift

Leverage Oracle's data tools alongside Airflow for comprehensive workflow orchestration

Develop dbt transformations and maintain data models for analytics

Implement data quality checks and monitoring across Oracle and non-Oracle platforms

Support Metabase dashboard development and troubleshoot data issues

Write efficient SQL and PL/SQL for data transformations and optimizations

Collaborate with analytics teams to deliver data solutions using Oracle's platform capabilities

Debug and resolve pipeline failures across the integrated data ecosystem

Document Oracle platform configurations and integration patterns

5+ years of experience in data engineering with Oracle platform tools or Similar

Hands-on experience with Oracle Data Integrator (ODI) - building mappings, packages, and scenarios

Familiarity with Oracle AI Data Platform or willingness to learn quickly

Strong SQL and PL/SQL skills for Oracle databases

Experience with Oracle Autonomous Data Warehouse or Oracle Database administration

Python experience for data processing and automation

Understanding of ETL/ELT patterns and data modeling concepts

Experience Integrating Oracle With Other Data Platforms

Problem-solving mindset and attention to data quality

Nice To Have

Oracle Cloud Infrastructure (OCI) experience

Experience with Airflow or similar orchestration tools

dbt experience or analytics engineering practices

Working knowledge of Trino/Presto for federated querying

Multi-database platform experience (PostgreSQL, SQL Server, Redshift)

BI tool experience (Metabase, Oracle Analytics Cloud, or similar)

Oracle certifications (OCI, Database, or Data Integrator)