London, England, United Kingdom Software and Services
Add to Favourites QA Automation Engineer, London
Description
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 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.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 Data Test Automation Engineers who are interested in ASE products, want to make a difference to them and to Apple as a whole, improving the data quality, and learn ASE 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.
Minimum Qualifications
* Understand database schema, data interrelationships, and data flows with experience using SQL query with good Knowledge in Python, Java and/or Scala
* Experience with writing test plans, writing test case automation and working closely with other teams (engineering, project management, etc.), bug reporting and isolation combined with exceptional analytical skills in test case design and bug diagnosis
* Demonstrate excellent bug reporting skills and the ability to communicate clearly with third parties
* Comfortable and adaptable in a fast-paced environment with strong analytical, problem solving and creative thinking skills.
Preferred Qualifications
* Experience with Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Cassandra)
* Experience with Big Data query tools and engine (e.g. Jupyter Notebook, Trino, DBeaver)
* 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
Add to Favourites QA Automation Engineer, London #J-18808-Ljbffr