On the Storage Data Analytics team we are responsible for ad hoc data analysis developing and maintaining distributed data pipelines and creating and supporting analysis tools. Our work focuses on Apples storage solutions. The team is small and nimble able to quickly explore ideas and present them to both storage teams and leadership.
BS in Computer Engineering Computer Science Physics Mathematics or equivalent experience/skills
Ability to lead data investigations and analysis projects with ambiguous requirements
Advanced knowledge of statistics and modeling
Experience visualizing and presenting analyses using tools such as Jupyter and Tableau
Professional programming experience with Python
Experience working with relational databases and SQL
Excellent written verbal and data communication skills
Masters or PhD in Computer Engineering Computer Science Physics Mathematics or equivalent experience/skills
Familiarity with distributed computation storage and workflow management (e.g. Splunk Spark Kubernetes Kafka Hadoop MapReduce Airflow etc.)
Knowledge of storage concepts SSDs and I/O paradigms
Highly organized creative motivated and results-driven
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