Overview

Seeking talented and curious engineers to join our dynamic team at Oracle that builds platform capabilities. If you have a keen interest in working on cutting-edge technologies and want to apply your skills in building robust distributed platforms, this could be the perfect opportunity for you. Join us in Austin, TX, to drive innovation in Big Data solutions.

Responsibilities

• Design, develop, and optimize scalable Big Data pipelines using Spark, Hadoop, and Kafka.
• Build and maintain high-performance distributed systems for data processing and analytics.
• Collaborate with cross-functional teams to define platform requirements and architectures.
• Implement fault-tolerant data ingestion and transformation workflows.
• Optimize query performance and storage efficiency in cloud-native environments.
• Develop monitoring, alerting, and automation tools for production systems.
• Conduct code reviews and mentor junior engineers on best practices.
• Stay ahead of emerging Big Data technologies and contribute to R&D initiatives.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field.
• 5+ years of experience in Big Data technologies (Spark, Hadoop, Flink).
• Proficiency in Java, Scala, or Python for distributed systems development.
• Strong experience with cloud platforms (Oracle Cloud, AWS, GCP).
• Deep knowledge of data modeling, ETL processes, and SQL/NoSQL databases.
• Excellent problem-solving skills and experience with agile methodologies.

Benefits

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