Apple Music – Senior Software Data Engineer

Apple
Apple

Job Overview

Key Qualifications

  • Expert in designing, implementing and supporting highly scalable data systems and services in Java and/or Scala
  • Extensive experience with Hadoop-ecosystem technologies in particular MapReduce, Spark / Spark-SQL / Spark Streaming, Hive, YARN/MR2
  • Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest to/from multiple sources to feed batch and near-realtime/streaming compute components
  • Experience in data-modeling and data-architecture optimized for big data patterns, ie. warehousing concepts; efficient storage and query on HDFS; data security and privacy techniques)
  • Knowledgable about distributed storage and network resources, at the level of hosts, clusters and DCs, to troubleshoot and prevent performance issues
  • Experience with low-latency NoSQL datastores and traditional relational databases is desired
  • Description

    Our Data Engineering team is seeking a hardworking, performance-savvy, experienced engineer to build out the big data platform and services, which power many of these customer features — existing and new. You will be responsible for designing and implementing features that rely on processing and serving very large datasets with an awareness of scalability. This will include crafting systems to model, ingest, process and compute large-scale, mission-critical data across Apple Music. High-throughput and reliability are essential.

    Education & Experience

    Bachelors degree in Computer Science, or equivalent experience. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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