2 months ago
Responsibilities
- Build and maintain complex data pipelines and data models at scale.
- Query, manipulate, and analyze internet-scale data structures and very large datasets.
- Use Python or similar languages and distributed computing frameworks such as Spark for complex data manipulation and analytics.
- Develop pipelines, data models, and aggregation strategies supporting analytics and reporting.
- Collaborate with product, business, engineering, design, marketing, editorial, legal, and other stakeholders.
- Translate complex data concepts for diverse audiences and balance multiple projects with competing priorities.
- Support data-driven insights while respecting user privacy and regulatory policy.
Requirements
- At least 5 years of experience in data engineering or business intelligence roles.
- Strong proficiency with SQL and experience working with very large datasets.
- Advanced proficiency with Python or similar languages.
- Experience with distributed computing frameworks such as Spark.
- Demonstrated experience with pipeline development, data model design, and aggregation strategies.
- Strong written and verbal communication, time management, and stakeholder collaboration skills.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
- Preferred: experience in a technology company, digital subscription business, or e-commerce platform.
- Preferred: familiarity with data governance, data quality frameworks, or metadata management.
- Preferred: master's degree in a related field.
Tech Stack
Categories
Data Engineering
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.