Overview

Oracle's Consumer Global Industries Unit is seeking a Principal Data Engineer to lead the design, development, and deployment of a robust data platform. This platform will integrate diverse data sources and enable AI/ML services for industry use cases. It empowers Oracle Industry Applications to achieve new levels of analytics and innovation.

Responsibilities

• Lead the architecture and design of scalable data platforms integrating heterogeneous data sources.
• Develop and deploy data pipelines using Spark, Kafka, and cloud-native technologies.
• Enable AI/ML services by building data lakes, warehouses, and feature stores.
• Collaborate with cross-functional teams to define data requirements for industry applications.
• Optimize data processing for performance, cost-efficiency, and reliability at scale.
• Implement data governance, security, and compliance frameworks.
• Mentor junior engineers and drive best practices in data engineering.
• Stay ahead of emerging technologies to innovate Oracle's data ecosystem.

Qualifications

• 10+ years of experience in data engineering with large-scale systems.
• Expertise in distributed data technologies (Spark, Hadoop, Kafka, Flink).
• Proficiency in cloud platforms (OCI, AWS, Azure) and SQL/NoSQL databases.
• Strong programming skills in Python, Java, or Scala.
• Experience with AI/ML data pipelines and MLOps practices.
• Proven track record leading engineering teams and delivering production systems.

Benefits

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