As an engineer on the Data Pipelines team youll develop and maintain a company-wide workflow orchestration framework. Youll help us build solutions that meet the needs of many teams, handle workload volumes at Apple-scale and push the boundaries when it comes to automatic, highly efficient resource allocation and management. The systems we build in Cloud Infrastructure shape the way in which data analytics work is done throughout the company. Come join us and be part of an important core engineering team at Apple.
Were looking for highly skilled full stack web developers to join our team. We seek engineers with expertise in building scalable web applications and strong understanding of cloud architecture and distributed systems.
Expertise in using and maintaining Apache Airflow is highly desired and would set you apart.
Experience with Kubernetes and workflow scheduling/orchestration technologies such as Oozie are a plus.
Our primary customers are all of the data engineering and analytics teams at Apple. Our product consists of a user-friendly , resilient workflow orchestration system. We aim to make our product easy to use for the most tech savvy engineers and data scientists all the way to the non-tech folks at Apple. Some of the use cases we solve for are orchestrating ETL workloads, coordinating machine learning model training, and managing auto remediation of production systems.
We develop and share our work as open source code internally at Apple and also contribute to public open source projects.
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