Data Engineer Jobs

About The Position

Requirements

• 5+ years of hands-on data engineering experience in Oracle-centric enterprise data warehouse environments.
• Current, hands-on experience with Oracle Cloud Infrastructure (OCI), specifically OCI Object Storage, OCI Data Transforms, Oracle Data Catalog, and OCI ETL patterns. Candidates needing ramp-up on OCI fundamentals will not be considered.
• Strong Oracle expertise, including advanced SQL, complex joins, performance tuning, and the ability to navigate a mature data warehouse with significant legacy business logic.
• Dimensional modeling proficiency, including star schemas, facts and dimensions, and slowly changing dimensions.
• Working knowledge of lakehouse concepts, including the role of object storage in a hybrid data warehouse and lakehouse architecture.
• Solid core ETL and ELT skills, including orchestration, error handling, dependency management, and high-volume batch ingestion.
• Working knowledge of Linux, including shell scripting, SSH-based administration, and basic server maintenance.
• Working knowledge of Java sufficient to read, debug, and lightly modify Java-based ETL components.
• Excellent written and verbal communication. Able to operate as a peer-level collaborator with senior client subject matter experts.
• US-based with Eastern Time business-hours overlap.

Nice To Haves

• Hands-on Apache Iceberg experience, including table format, metadata layer, and migration patterns.
• Production Pentaho experience.
• Experience with AWS S3 to Oracle ingestion patterns and cloud-to-warehouse data lake integration.
• Exposure to high-volume transactional reporting domains.
• Master Data Management or golden record program experience.
• Background in data warehouse modernization or lakehouse migration projects.

Responsibilities

• Build and maintain data flow and transformation patterns across an enterprise Oracle data warehouse environment.
• Partner with the client database and platform teams to manage external tables, flat files, and high-volume batch ingestion.
• Identify and implement performance optimizations at the storage, query, and orchestration layers, including across a long-standing production warehouse with accumulated business logic.
• Maintain and extend cloud-to-Oracle integration patterns, the data catalog layer, and shell-script-based orchestration jobs.
• Operate and evolve the existing ETL stack while contributing to the evaluation and adoption of Oracle-native data transform tools.
• Contribute hands-on to the buildout of a hybrid lakehouse using Apache Iceberg, OCI Object Storage, Parquet, and external table patterns.
• Prepare for an upcoming shift in source ingestion toward cloud object storage and a data lake delivery pattern.
• Perform light Linux server administration and performance tuning on existing ETL infrastructure.
• Act as a collaborative thought partner with senior client stakeholders, proposing alternatives and surfacing patterns rather than waiting for prescriptive direction.
• Support potential future workstreams including master data management and golden record initiatives once data foundations are matured.