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Data Engineer
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Title : Data Engineer
Location : Cupertino, CA
Duration : 1 Month - Possibility for extension
Job Description:
- Hybrid role onsite Tues-Thurs
- Within this organization the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience.
- As an Analytic Engineer on the team, you will build data and tools that enable analytics to inform product and engineering teams at scale, with the ultimate purpose of improving the Siri experience for Apple customers.
- Build data, visualization, and other analytic products with a drive to automate and scale the insights available to engineering teams.
- Build metadata and tools that support transparency and reproducibility around analytics.
Key Qualifications:
- You have engineered metrics and statistical information out of massive and complex datasets (e.g. Hive, Spark MLlib, Druid, Solr, Kafka).
- You are fluent in at least one programming language (e.g. Python, Scala) and are comfortable developing code within a team environment (e.g. git, testing, code reviews).
- You have built robust data and analytic pipelines and have a keen eye for where to automate (e.g. Oozie, Airflow).
Education:
- B.S., M.S., or PhD in Computer Science, Computer Engineering, Statistics, Bioinformatics, Applied Mathematics, Physics or equivalent practical experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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