Job Description

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.

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 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. We are looking for candidates with a strong background in data analytics and quality assurance. Key skills include exceptional analytical thinking, attention to detail, hands-on coding, and effective problem-solving abilities. Strong collaborative capabilities and experience working in a matrix work environment are must haves. You should be adept at building and maintaining relationships with cross-functional partners and stakeholders ensuring alignment with the organization's development lifecycles and project timelines. This role requires a passion for maintaining the highest standards of quality and the ability to drive continuous improvement in processes and outcomes.

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-Advance 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





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