Data Analytics Engineer - Apple Services Engineering at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Scala, SQL, Big Data, Spark, Flink, Hadoop, Kafka, Data Pipeline, Analytical Solutions, Communication, Attention to Detail, Data Structures, Algorithms, Engineering Projects, Collaboration

Industry

Computers and Electronics Manufacturing

Description

The Apple Services 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 Music, Apple TV, Apple Games, and many others. 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. DESCRIPTION As a team member of the ASE 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 phenomenal products. You will need to have a passion for quality and an ability to understand sophisticated systems. MINIMUM QUALIFICATIONS BS in Computer Science or a related field with 5+ years experience. Strong technical knowledge in Java, Scala, SQL. Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem. Experience integrating messaging technologies like Kafka. Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc. Enjoys deep technical and product discussions. Has attention to detail and can context switch across multiple projects. PREFERRED QUALIFICATIONS MS in Computer Science or a related field with 7+ years experience. Experience leading complex engineering projects from inception to production across organizational boundaries. Exceptional analytical skills combined with a deep knowledge of data structures and algorithms. Can see the big picture, set a vision, and grow the team and platform in accordance to that vision. Excellent communication skills. Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership. Deep experience in designing and implementing scalable big data solutions that span multi-functional teams.

Responsibilities

As a member of the ASE Data Engineering team, you will develop large scale data pipelines and analytical solutions using Big Data technologies. You will work cross-functionally and have significant responsibility in shaping the team's future direction.