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Job Description
Role Number: 200633181-3337
Summary
The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success.
Description
Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with In depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple.
Minimum Qualifications
8+ years of professional experience
A successful track-record or demonstrated aptitude as an engineer who has worked on distributed systems.
Experienced Poweruser (at least 2 years of running production applications) of Apache Flink or Committer to Apache Flink.
BS or MS degree in computer science or equivalent professional experience.
Preferred Qualifications
Good knowledge of Apache Iceberg and Apache Kafka.
Experience working on or building connectors from Flink to any of the data sources.
Knowledge of Yarn, Kubernetes or other compute substrate.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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