Job details
- Job Number: 27928668
- Santa Clara Valley, California, United States
- Posted: Sep. 12, 2013
- Weekly Hours: 40.00
Job Summary
The
iTunes Store is looking for a top-notch Big Data engineer to develop an
analytics infrastructure that will generate insights into customer
experiences on products such as the iTunes Store, App Store, and
iBookstore. Our products 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.
Key Qualifications
- Proficiency in MapReduce development and experience with Hadoop or other data processing technologies required
- Experience developing large-scale web-based systems
- Strong object-oriented design skills, coupled with a deep knowledge of data structures and algorithms
- Excellent debugging, critical thinking, and communication skills
- Able to gather cross-functional requirements and translate them into practical engineering tasks
- 5+ years of programming experience, preferably in Java or C/C++
Description
The
iTunes Store Analytics team is responsible for collecting, analyzing,
and reporting on customer experience data. 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 and will be responsible for processing large
amounts of data and preparing that data for visualization, ad-hoc
exploration, reporting, and further analysis. We are looking for a
well-rounded engineer who has good design sense. The ideal candidate
pays meticulous attention to details -- caring about the quality of the
input data as well as how the processed data is ultimately interpreted
and used. You are also a team player -- ready to contribute during
design sessions, and able to give and receive constructive code reviews.
Your curiosity drives you to explore new technologies and apply
creative solutions to problems.
Education
BS degree in Computer Science or a related field
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