Data Backend Test Engineer

Seattle, WA 98104
  • Job Code
    200236047
Summary

Summary

Posted: May 21, 2021

Weekly Hours: 40

Role Number:200236047

The Apple Media Products Engineering team is one of the most exciting examples of Apple's long-held passion for...Summary

Summary

Posted: May 21, 2021

Weekly Hours: 40

Role Number:200236047

The 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, nimble, and cross-functional, offering greater exposure to the array of opportunities here.

Key Qualifications

  • Day to day work involves understanding near real-time (NRT) and batch data pipeline systems developed by engineering teams for AMP products.
  • Carry out data profiling and understand schema, data interrelationships, and data flows using SparkSQL, HiveQL, Jupyter
  • Document test plans, writing test case automation and working closely with other teams (engineering, project management, etc.), bug reporting and isolation
  • This position demands a self-motivated individual with strong technical and communication skills who can contribute in a team environment.
  • Be dynamic and prepared to test/regress a high volume of changes on a day-to-day basis.
  • Candidate should possess the ability to implement automated tests for NRT and batch data pipelines using QA automation tools, Java, Scala, Spark, IntelliJ
  • Automate UI testing for iOS devices using Python libraries
  • Demonstrate excellent bug reporting skills and the ability to communicate clearly with third parties
  • Interest in AMP products, improving AMP data, and learning AMP tools and technologies
  • Comfortable and adaptable in a fast-paced environment.
  • Strong analytical, problem solving and creative thinking skills.
  • Possess exceptional analytical skills in test case design and bug diagnosis.
  • Good soft skills esp. listening and interfacing with stakeholders
  • Dedication to user-focused design & high quality technology
  • Strong commitment to technical quality assurance as a key part of the software development cycle.
  • Willingness to work cross-functionally with other teams.
  • Leading junior team members.
  • Results-oriented, persistent, and meticulous.

Description

The Apple Media Products (AMP) Analytics Engineering QA team is responsible for ensuring the Quality and integrity of the data collected and reported on customer experience data. We are seeking Mid-level Data Test Automation Engineers who are interested in AMP products, want to make a difference to them and to Apple as a whole, improving the data quality, and learn AMP cutting-edge tools and technologies. This role involves developing automated testing tools to test and validate near real-time (NRT) and batch data pipeline systems.

Education & Experience

BS/BA/MS/MA/PhD degree in any of the STEM majors (Sciences/Physics/Chem/CS/Math/Engineering).

Additional Requirements

  • 5+ yrs of Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Voldemort, Cassandra, Druid)
  • 5+ yrs Knowledge in Python, Java and/or Scala. Interest and experience on coding is a must for this position.
  • 5+ yrs experience with Big Data query tools (e.g. Hive, HDFS, Azkaban, SparkSQL, HiveQL, CQL)
  • 5+ yrs experience with near real-time (NRT) and Batch data pipelines Experience black box testing
  • 5+ yrs experience Client-Server products Knowledge in Data Quality, Data Profiling and Data Integration tools.
  • 5+ yrs experience in data migrations, DataWarehousing, Business Intelligence


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Data Backend Test Engineer

Apple, Inc.
Seattle, WA 98104

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