Seeking extraordinary software engineers with deep experience in Event Ingestion, storage management and compliance for a multi-tenant Data Lake. Looking for engineers with In depth knowledge of systems like Kafka, Spark, Flink and other frameworks. Also, someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple.
We are looking for Engineers and Architects who are passionate about crafting big-data products. This role requires deep understanding of developing products that are highly scalable, highly available and fully fault tolerant. Understanding of various big-data technology concepts such as Parallel Processing in MapReduce or Spark, indexing technology used in searching, query processing using NoSQL technologies is a requirement.
Come join a small team writing the software which forms the foundation for some of our most exciting products and services.
- Architect, design and build a framework that can ingest billions of records, can process and aggregate petabyte scale of data - Develop a big data infrastructure that is highly scalable, available with end to end analytics capabilities - Advise data engineers and Analysts on solving their data access requirements - Develop and deploy algorithms that tackle big data problems. We are Data Lake team for Apple Cloud Services group. We provide platform services for various products like iMessage, FaceTime, Photos, Drive, Backup, Education and many others. The services we provide form the basic platform upon which most of the Apples data engineering and data science systems and use-cases are built. The Apple Cloud Services - Data Lake team needs a strong self driven engineer who can work both on open source community offerings as well as internal teams to take technologies to the next level.
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