People at Apple don't just build products they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! \\n\\nThe Apple Services Engineering Security team builds and provides secure systems and infrastructure that fuel Apple's services (such as iCloud, iTunes, Siri, App Store, and Maps). As part of the ASE Security team, you will help manage the security needs of Apple's services around the world. You will build and integrate the security controls, guardrails, and frameworks that help protect our customers data in Apple's infrastructure.\\n\\nYour effort will help build solutions to a variety of outstanding security challenges in software supply chain, security posture, and risk management. Join us, and you'll play a meaningful role in ensuring the highest standard of security for one of the most-watched companies in the world.
We're looking for exceptional data engineers who have a strong background in distributed data processing, have great and demonstrable data intuition, and share our passion for continuously improving the ways we use data to make the Apple's products, applications, and platform secure, safe, and better.
8+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines\nHighly proficient in at least one of Java, Python or Scala\nDeep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills\nFamiliar with AWS cloud resources (S3, EC2, RDS etc)\nMS or BS or equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering
Experience with Cloud Computing platforms like Amazon AWS, Google Cloud\nExperience with OSI model and understanding of how network works (Load Balancer, Routers, network tagging, NetFlow)\nUnderstanding of the full technology stack (from BMCs, Firmware, to OS layer, to containers and applications) primitives\nExperience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others\nExperience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)\nExperience building distributed, high-volume data services\n
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 8b38043923249736cde81a30241e348a
- Posted 3 hours ago
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