QA Engineer - Analytics & Data Engineering - ASE

at  Apple

SUMMARY

Posted: 14 Aug 2024
Weekly Hours: 35
Role Number:200559577
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 massive scale, meeting Apple’s high expectations with commitment 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, flexible, and multi-functional, offering greater exposure to the array of opportunities here.

DESCRIPTION

The Apple Services 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 ASE ground breaking tools and technologies. This role involves developing automated testing tools to test and validate near real-time (NRT) and batch data pipeline systems.

• Day to day work involves understanding near real-time (NRT) and batch data pipeline systems developed by engineering teams.
• Carry out data profiling and understand schema, data interrelationships, and data flows using SparkSQL, 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, Python, ScalaDemonstrate excellent bug reporting skills and the ability to communicate clearly with third parties

PREFERRED QUALIFICATIONS

• Experience with Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Cassandra)
• Good Knowledge in Python, Java and/or Scala. Interest and experience on coding is a must for this position.
• Experience with Big Data query tools
• Experience with near real-time (NRT) and Batch data pipelines Experience black box testing
• Experience Client-Server products Knowledge in Data Quality, Data Profiling and Data Integration tools.

• Day to day work involves understanding near real-time (NRT) and batch data pipeline systems developed by engineering teams.
• Carry out data profiling and understand schema, data interrelationships, and data flows using SparkSQL, 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, Python, ScalaDemonstrate excellent bug reporting skills and the ability to communicate clearly with third partie