Are you ready to make a significant impact at the intersection of data engineering and iCloud analytics within Apple? If you are passionate about building robust data pipelines, crafting complex data models, and enabling compelling, data-driven insights at scale, we would love for you to apply! The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy.
Description
We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking - we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams.
Minimum Qualifications
5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines and data models at scale
Strong proficiency with SQL and proven experience querying, manipulating, and analyzing internet-scale data structures and very large datasets
Advanced proficiency with Python or similar languages, and experience with distributed computing frameworks (e.g., Spark) for complex data manipulation and analytics
Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies in support of analytics and reporting
Exceptional written and verbal communication skills, with the ability to translate complex data concepts for diverse audiences including product, business, and engineering stakeholders
Strong time management skills with the ability to balance multiple projects with competing priorities
BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
Preferred Qualifications
Experience in a fast-paced technology company, digital subscription business, or e-commerce platform, navigating complex data ecosystems
Familiarity with data governance, data quality frameworks, or metadata management concepts
MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 42415cfc7f4687b9f5e5bfb9f671f47b
- Posted 4 days ago
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