The Apple Media Products Analytics is looking for a top-notch engineer to help develop an analytics platform that will generate insights into customer experiences on products such as the Apple Music, App Store, and Bookstore. Our stores reach hundreds of millions of customers around the world, and have revolutionized how people interact with their music, movies, TV shows, apps, books, and podcasts.
Demonstrate proficiency in data management and automation on Spark, Hadoop, and HDFS environments
Experience managing data in relational databases and developing ETL pipelines
Know how in maintaining and debugging systems in Java runtime environments
Competency in Java and other JVM languages like Scala or/and C#, Clojure, or similar object-oriented language
Deep understanding, and strong hands on experience - Multithreading, Networking (including non-blocking IO), etc
Confidence with SQL databases like Oracle and NoSQL databases like Cassandra
Experience driving product features, functional specifications, and development schedules, represent team and technology
Passion and prior experience designing and implementing outstanding large distributed systems
Be an advocate and driver for performance optimization, automation, and unit tests
Ability to pick up new technologies quickly
Excellent debugging, critical thinking, and communication skills
Tireless attention to detail
Solid documentation and technical writing skills
The AMP Analytics team is responsible for collecting, analyzing, and reporting on customer From this data we generate insights into how customers interact with our products, and use these insights to drive improvements to user-facing features. You will be working on a small team valuing cooperation, brainstorming, with an emphasis on design. You will be responsible for developing systems, tools, and visualizations to make sense of the data. We are looking for a sharp engineer who also has a keen sense of how to build good products. You are also a team player -- ready to engage in lively design discussions, and able to give and receive constructive code reviews. Your curiosity drives you to explore new technologies and apply creative solutions to problems. The ideal candidate pays close attention to details, but also keeps sight of the bigger picture.
Education & Experience
Proficiency with source control systems (SVN, Git) and build tools such as Gradle, Maven, etc.
Experience with the Big-Data ecosystem (Spark, Hadoop, Hive, Pig, etc.)
Built and deployed large scale data pipelines (e.g. Kafka, Spark, Storm)
Understands different data storage solutions and when to use them (e.g. RDBMS, Cassandra, Solr, Redis)
Experience implementing and administering logging, telemetry and monitoring tools like Splunk is a plus
Experience in cluster management/orchestration software like Mesos, Aurora or Ansible using tools such as Docker is a plus
Experience working with Cloud based environment a plus