Software Engineer, Big Data - Apple Services Engineering

What you'll do

• Design and build large-scale data pipelines using big data technologies like Spark and Kafka.
• Maintain and enhance datasets that power key product features while ensuring user privacy.
• Own the quality, scalability, and service level agreements for assigned data pipelines.
• Drive architectural vision to support future growth of data processing systems.
• Champion technical excellence by contributing to best practices and documentation.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience
• 6+ years of experience building production systems using Java and/or Scala for large-scale distributed data processing
• Deep understanding of distributed batch and streaming data processing systems (Spark, Flink, Kafka)
• Experience with big data ecosystem technologies (HDFS, Hadoop, S3, MPP database, Kubernetes, Airflow)
• Proven track record of designing, launching, and scaling production-quality data pipelines
• Strong data intuition and solid SQL and data analysis skills
• Experience with GDPR compliance and best practices for responsible data handling