Senior Data Engineer

5 days ago

Seattle, Washington, United States Apple Full time

Job Summary

We are seeking a highly skilled Senior Data Engineer to join our iCloud team at Apple. As a Senior Data Engineer, you will be responsible for designing and implementing efficient, scalable, and secure data pipelines to process structured and unstructured data.

Key Responsibilities

  • Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
  • Own and evolve 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 judgment to bring cutting-edge technologies 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

Requirements

  • 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 or equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering

Preferred Qualifications

  • 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

About Apple

At Apple, we are committed to innovation and excellence in everything we do. We are a diverse and inclusive company that values creativity, passion, and collaboration. If you are a motivated and talented individual who is passionate about data engineering and wants to make a difference, we encourage you to apply for this exciting opportunity.

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