Apple: Software Engineer/Backend Data – Analytics Engineering

SummaryPosted: Oct 5, 2021Weekly Hours: 40Role Number:200293592The Apple Media Products Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.

And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.

These engineers build secure, end-to-end solutions.

They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.

Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision.

That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values.

Although services are a bigger part of Apple’s business than ever before, these teams remain small, forward-thinking, and cross-functional, offering greater exposure to the array of opportunities here.Key Qualifications5 years of programming experience, preferably in Java, Scala.Proficiency in data processing using technologies like Spark Streaming, Spark SQL, or Map/ReduceExpertise in Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and PigProficiency with databases and SQL is requiredExpertise in developing big data pipelines using technologies like Kafka, Flume, or StormExperience with large scale data warehousing, mining or analytic systemsAbility to work with analysts to gather requirements and translate them into data engineering tasksAptitude to independently learn new technologiesDescriptionAs a senior member of the Data Engineering team, you will have significant responsibility and influence in shaping its future direction.

This role is inherently cross-functional and the ideal candidate will work across disciplines.

We are looking for someone with a love for data and ability to iterate quickly on all stages of data pipeline.

This position involves working on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies.

Successful candidates will have strong engineering skills and communication, as well as, a belief that data driven processes lead to great products.

You will need to have a passion for quality and an ability to understand complex systems.Education & ExperienceBachelor’s degree or equivalent work experience in Engineering, Computer Science, Business Information Systems.

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.Additional Requirements