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. 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, which 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.
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 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 learning 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
1. Expert on automating web application client to server testing
2. Understand SQL, database schema, data interrelationships, data flows, and data quality.
3. Experience with writing test plans, creating test case automation, and demonstrating excellent bug reporting skills
4. Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
1. Experience with Big Data technologies (e.g., HDFS, AWS, Spark, Kafka, Cassandra)
2. Experience with near real-time (NRT) and batch data pipelines
3. Experience in API testing
4. This position demands a self-motivated individual, adaptable with strong technical skills who can contribute in a fast-paced team environment.
5. Good soft skills, especially listening and interfacing with stakeholders, and a drive to collaborate cross-functionally with other teams.
#J-18808-Ljbffr