Sr. Data Engineer, iCloud

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Sr. Data Engineer, iCloud

Austin, Texas, United StatesSoftware and Services

Austin, Texas, United StatesCulver City, California, United StatesCupertino, California, United StatesSeattle, Washington, United StatesWork Locations (4)

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Would you like to drive the future of Apple’s products, applications, and platform while having the unique opportunity to impact some of the most far-reaching software applications in the world? iCloud Data organization enables Apple to ship better products for iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar etc) from all of their devices all the time by providing consistent, scalable, timely, accurate, complete and fully integrated data infrastructure and capabilities to accurately surface relevant information. If this excites you and you are energized by solving hard, high-leverage problems at scale, we'd love to hear from you! 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 better.

What you will do: Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data Own and evolve extremely rich datasets on iCloud products and platform interactions to power a wide variety of use cases Build forward-looking data solutions that interface well with existing systems and use judgement to bring cutting edge technologies in the industry to suit iCloud needs Understand how key technical decisions will drive business outcomes and deliver/aid data frameworks and platforms that improve delivery with high-quality to those outcomes by partnering with cross functional teams Join a stunning team of data experts with diverse skill set, and deliver excellent solutions that better enable our decision-making process.

• 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

• Highly proficient in at least one of Java, Python or Scala

• Deep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills

• Strong problem solver with meticulous attention to detail, capable of taking on loosely defined problems

• Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects

• Strong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approach

• Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)

• MS or BS 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

• Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others

• Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)

• Experience building distributed, high-volume data services is a plus

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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