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Apple Staff Data Infrastructure / Platform Engineer United States, California, Cupertino 661888343
07.04.2025
- Ensure data platform offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt- Write code, documentation, participate in code reviews, and mentor other engineers
- 10+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive, along with resource management systems like Apache Mesos and Kubernetes.
- Proficient in Java or Scala.
- Proven expertise in designing and developing scalable, reliable APIs.
- A hands-on approach with a willingness to engage in daily technical work.
- Skilled at debugging complex issues in large-scale distributed systems.
- Driven by a passion for building reliable, maintainable, and user-friendly products and services.
- Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions.
- B.S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent practical experience
- Expertise in public cloud platform’s like AWS, S3, EKS, IAM.
- Contributor to open source technologies like Spark or Iceberg.
- Expertise in building Lakehouse for large scale data platforms.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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