Overview
Summary Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
The Analytics & Data Quality team is responsible for ensuring the end-to-end quality of Analytics offerings within Apple Services Engineering. In this role, you will support the Music Analytics vertical, working with other Quality Engineering (QE) teams dedicated to testing and automating music analytics, as well as overseeing quality and integrity of data ingestion, processing, aggregation pipelines, reports, and dashboards for both internal and external customers.
Role Description
Description The Music Analytics QA team is seeking a highly organized and motivated Analytics & Data Quality Engineer to support one of the fastest-growing sectors within Apple Services. In this role, you will collaborate closely with analytics and data engineering teams, project managers, and data science teams to deliver exceptional products and services to Apple’s customers. You will work with a team dedicated to ensuring the high-quality release of analytics data pipelines from client to server.
Responsibilities
* Responsibilities include test planning, estimation, execution, defects triage, and test automation, to guarantee timely delivery of our commitments, adhering to the highest quality standards at all times.
* Collaborate with analytics and data engineering teams, project managers, and data science teams to deliver high-quality analytics products and services.
* Drive continuous improvement in testing processes and data quality workflows in a fast-paced environment.
Qualifications
Minimum Qualifications
* In-depth knowledge of QE methodologies and test strategies for complex systems
* Expertise in test automation architecture, test planning, execution, and triage
* Intermediate-to-Advanced coding skills in at least one object-oriented programming language
* Hands-on experience with one or more of the following technologies: Python, SQL, Hadoop, Kafka, Spark
* Adaptable and comfortable working in a high-paced technology environment, with focus on driving key issues to resolution
Preferred Qualifications
* Familiarity with GenAI testing tools and Swift/XCUI is a plus
* Exceptional cross-functional communication and influencing skills
* Strong presentation skills, capable of distilling complex analyses and concepts into concise, business-focused insights
At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
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