Finding the best job has never been easier
Apple Senior Data Engineer United States, California, Cupertino 479403164
Yesterday
Share
This role requires expertise in data engineering tools and patterns, including developing PySpark jobs, using orchestration tools for scheduling and monitoring, understanding CI/CD processes, and managing a dynamic data lake. The team maintains pipelines that require on-call support and monitoring. A successful engineer will have a strong intuition for quickly identifying and resolving bugs and efficiently solving technical challenges.Responsibilities:
- 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
- Business Intelligence experience - aggregated data sources, metric definition, data visualization with tools like Tableau
- Strong critical thinking, debugging, and technical design skills
- Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, Economics or related field
- Deep experience in Spark
- Experience in digital subscriptions, media, and/or app-based engagement data
- Experience in Data Governance & User Privacy
- Experience with container orchestration and deployment frameworks (eg. Kubernetes, Docker)
- Data Platform engineering experience to support deployment of pipelines across many diverse teams
- Masters degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, Economics or related field
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
