Full Stack Big Data Engineer- Apple Cloud Services

Cupertino, CA 95014
  • Job Code
    200168490
Summary

Summary

Posted: Aug 26, 2020

Weekly Hours: 40

Role Number:200168490

Do you love solving sophisticated challenges and are passionate about data? Are you an inventive, self-starter ...Summary

Summary

Posted: Aug 26, 2020

Weekly Hours: 40

Role Number:200168490

Do you love solving sophisticated challenges and are passionate about data? Are you an inventive, self-starter who takes pride in seeing ideas come to life on a global scale? If so, come check out our Apple Cloud Services team! We get to influence data led decisions that touch billions of Apple's customers every day!

This is a hands-on Full Stack Big Data Engineer role responsible for building the next-generation libraries, platforms and data pipelines. You will develop data engineering assets and entities to empower self-serve of data products.

You will work closely with multi-functional teams such as marketing, finance, product engineering teams, understand their processes and analytic needs and provide insights that benefit Apple.

This is a small and outstanding technology team passionate about addressing all the big-data processing needs for iCloud. We are developing a platform that can accomplish any task with an intuitive, simple to use user interface, and easy deployment to production. Come check us out!

Key Qualifications

  • At least 5 years of professional experience with Big Data systems, pipelines, data processing and reporting
  • 3+ years programming experience, preferably in Java or Scala
  • Deep expertise in Data Principles, Data Architecture & Data Modeling
  • Practical hands-on experience with technologies like Apache Hadoop, Apache Hive & Apache Spark
  • Proficiency in data processing using technologies like Spark Streaming, Spark SQL, or Map/Reduce
  • Expert level experience in writing complex analytical queries on Bigdata using SQL, Hive
  • Understanding on various distributed file formats such as Apache AVRO, Apache Parquet and common methods in data transformation
  • Ability to understand API Specs, identify relevant API calls, extract/transform data and implement SQL friendly data structures
  • Knowledge on basic computer science algorithms, data structures and distributed algorithms to process and mine data
  • Working knowledge of source control software (SVN or Git)
  • Good debugging, critical thinking, and communication skills: ability to interact and work well with members of other functional groups in a project team and a strong sense of project ownership
  • Experience with visualization, data mining, or statistical tools is a plus

Description

Create optimized data model for faster access of data in the Bigdata world
Build data engineering assets using Scala, Spark, Hive and other big data SQL technologies
Operationalize the data engineering workflows
Prepare data for visualization, ad-hoc exploration, reporting, and further analysis

Education & Experience

APPLE IS AN EQUAL OPPORTUNITY EMPLOYER THAT IS COMMITTED TO INCLUSION AND DIVERSITY. WE ALSO TAKE AFFIRMATIVE ACTION TO OFFER EMPLOYMENT AND ADVANCEMENT OPPORTUNITIES TO ALL APPLICANTS, INCLUDING MINORITIES, WOMEN, PROTECTED VETERANS, AND INDIVIDUALS WITH DISABILITIES. APPLE WILL NOT DISCRIMINATE OR RETALIATE AGAINST APPLICANTS WHO INQUIRE ABOUT, DISCLOSE, OR DISCUSS THEIR COMPENSATION OR THAT OF OTHER APPLICANTS.

Additional Requirements

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Full Stack Big Data Engineer- Apple Cloud Services

Apple, Inc.
Cupertino, CA 95014

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