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Apple Software Data Engineer - Apple Media Products 
United States, California, Cupertino 
316498797

18.11.2024
Minimum Qualifications
  • Bachelors/equivalent, or greater, in Computer Science or related field
  • Experience with distributed computing technologies such as Hadoop and Spark
  • Proficiency in Scala, Java, SQL
  • Expertise in designing, implementing and supporting highly scalable data systems and services
  • Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest from various sources to feed batch and near-realtime or streaming compute components
  • Experience with data analysis, and be able to analyze large scale dataset
  • Solid understanding of data-modeling and data-architecture optimized for big data patterns, such as efficient storage and query on HDFS
  • Experience with distributed storage and network resources, at the level of hosts, clusters and Data Centers, to troubleshoot and prevent performance issues
Preferred Qualifications
  • Experience with Apache Iceberg tables
  • Familiarity with Docker and Kubernetes
  • Familiarity with Apache Airflow
  • Familiarity with Tableau
  • Familiarity with Data modeling
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.