Overview

Join Oracle's Data Engineering team in North Ryde, Australia, as a Senior Software Engineer to design and build scalable data pipelines and platforms. Collaborate with cross-functional teams to drive data-driven innovation for enterprise cloud solutions. Leverage cutting-edge technologies to process massive datasets and deliver actionable insights.

Responsibilities

• Design, develop, and maintain high-performance data pipelines using Apache Spark, Kafka, and Oracle Cloud Infrastructure.
• Optimize ETL processes for large-scale data ingestion, transformation, and storage in distributed systems.
• Implement data quality frameworks and monitoring solutions to ensure reliability and accuracy.
• Collaborate with data scientists and analysts to build self-service data platforms.
• Lead code reviews, mentor junior engineers, and drive best practices in data engineering.
• Integrate machine learning models into production data workflows.
• Troubleshoot and resolve complex data processing issues in real-time environments.
• Contribute to open-source projects and stay current with emerging data technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of experience in data engineering with big data technologies (Spark, Hadoop, Kafka).
• Proficiency in Python, Java, or Scala for data processing and pipeline development.
• Strong experience with cloud platforms, preferably Oracle Cloud or AWS/GCP.
• Deep knowledge of SQL, NoSQL databases, and data warehousing solutions.
• Excellent problem-solving skills and experience with distributed systems.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working arrangements.
• Professional development budget and certification reimbursements.
• Stock purchase plan and retirement savings matching.