Overview

Oracle is seeking a Principal Data Engineer for CSS SaaS and Apps Delivery - Analytics to lead advanced data infrastructure for cloud analytics platforms. In this role, you will design scalable data pipelines, optimize analytics systems, and drive innovation in SaaS delivery. Join our team to deliver cutting-edge solutions that power enterprise analytics at Oracle.

Responsibilities

• Architect and implement scalable data pipelines for high-volume SaaS analytics workloads.
• Lead design and optimization of data lakes, warehouses, and streaming systems using Oracle technologies.
• Collaborate with cross-functional teams to define data requirements and analytics roadmaps.
• Develop and maintain robust ETL/ELT processes for real-time and batch data processing.
• Mentor junior engineers and drive best practices in data engineering methodologies.
• Implement advanced analytics features, including ML model integration and data governance.
• Monitor and troubleshoot production data systems for performance and reliability.
• Contribute to open-source projects and represent Oracle in industry data engineering forums.

Qualifications

• 10+ years of experience in data engineering with expertise in cloud-native architectures.
• Deep knowledge of Oracle Cloud Infrastructure (OCI), Big Data, and analytics services.
• Proficiency in Python, Spark, Kafka, and SQL for large-scale data processing.
• Strong experience with data modeling, warehousing, and ETL/ELT frameworks.
• Demonstrated leadership in delivering production analytics platforms.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase program.
• Flexible remote work options and generous PTO.
• Professional development stipend and tuition reimbursement.