Apple Services Data Science & Analytics team drives decisions that improve customer experience, accelerate growth, and uncover new business opportunities, all while respecting user privacy. The Data Engineering team within Services Data Science & Analytics focuses on solving the challenges inherent in producing consistent and reliable analytics from massive datasets across a wide range of services.
Requirements
- 5+ years of experience as a Data Engineer or similar role
- 5+ years of experience with data schema design and data modeling
- 5+ years of experience in Python and SQL
- 2+ years of Spark/PySpark experience
- Deep experience in Spark
- Experience with container orchestration and deployment frameworks (eg. Kubernetes, Docker)
- Data Platform engineering experience to support deployment of pipelines across many diverse teams
Responsibilities
- Independently design technical solutions to process massive datasets (billions of daily records) and unify analytics across Apple Services
- Build data pipelines using Python, PySpark and SQL
- Manage an evolving data schema ensuring that data structures can extend over time while also maintaining backward compatibility
- Collaborate with Business Intelligence and Data Science teams to design aggregate tables used across multiple teams and workflows
- Integrate new tools and packages into the team’s workflow and codebase
- Provide on-call support and monitoring
- Mentor and provide data engineering best practices across the organization
Other
- Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, Economics or related field
- Masters degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, Economics or related field
- Business Intelligence experience - aggregated data sources, metric definition, data visualization with tools like Tableau
- Strong critical thinking, debugging, and technical design skills
- Experience in digital subscriptions, media, and/or app-based engagement data
