Tools and Automation, Quality Assurance, Apple Services Engineering

Seattle, Washington, United States
Software and Services

Summary

Posted:
Weekly Hours: 40
Role Number:200536163
The Apple Services Engineering (ASE) 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 substantial scale, meeting Apple’s high expectations with dedication 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 multi-functional, offering greater exposure to the array of opportunities here.

Key Qualifications

  • Day to day work involves understanding billings data pipeline systems developed by engineering teams for ASE products.
  • Carry out data profiling and understand schema, data interrelationships, and data flows.
  • Proven skills with SQL, Hadoop, Scala, Spark, Python, Java and related frameworks.
  • Experience with source control technologies like Git and CI/CD tools.
  • 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.
  • Ability to automate testing efforts.
  • Demonstrate excellent bug reporting skills and the ability to communicate clearly with third parties.
  • Interest in ASE products, improving ASE data, and learning ASE 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 collaborating with partners.
  • 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 multi-functionally with other teams.
  • Leading junior team members.
  • Results-oriented, persistent, and meticulous.

Description

The Apple Services Engineering (ASE) 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 a Software Development Engineer who is interested in ASE products, wants to make a difference to them and to Apple as a whole, improving the data quality, and learn ASE ground breaking tools and technologies. This role involves developing automated testing tools to test and validate data pipeline systems.

Education & Experience

BS/BA/MS/MA degree in any of the STEM majors preferred

Additional Requirements

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

Pay & Benefits