Data Engineer (Customer Analytics), IS&T Ai & Data Platforms
Core
Design and build cloud-based data warehouses, pipelines, and analytics to power decisions across Apple.
Role type
Senior IC data engineer (customer analytics)
Builds
Cloud data warehouses, scalable ETL pipelines, and data access layers
Domain
Technology / Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, Spark, Trino, ETL pipeline development, cloud data platforms, data warehouse architecture, dimensional modeling, data discovery, data quality validation
Preferred skills
AI-powered tools for data workflows, OLTP/OLAP system knowledge, relational and NoSQL databases, business requirement translation
Technologies
Spark, Trino, Ali Cloud
Responsibilities
Design and manage cloud-based data warehouses and data access layers; Develop highly scalable and secure ETL pipelines; Perform data discovery and in-depth analysis across large datasets; Build proofs of concept and run ad-hoc analyses; Analyze and optimize existing data systems and queries; Use modern AI tools to automate data workflows
Seniority
Senior, hands-on IC
