QA Automation Test Engineer, Dublin
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.
- Expert on automating web application client to server testing
- Good Knowledge in Python, Javascript, Typescript, or Java. Interest and experience on coding is a must for this position.
- Understand SQL, database schema, data interrelationships, data flows and data quality.
- Experience with writing test plans, creating test case automation and demonstrating excellent bug reporting skills
- Strong analytical, problem solving and communication skills.
- Experience with Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Cassandra)
- Experience with near real-time (NRT) and Batch data pipelines
- Experience in API testing
- This position demands a self-motivated individual, adaptable with strong technical who can contribute in a fast paced team environment.
- Good soft skills esp. listening and interfacing with stakeholders and a drive to collaborate cross-functionally with other teams.