Experis
Analytics Engineer
Experis, Cupertino, California, United States, 95014
Our client in the technology industry is seeking an Analytics Engineer to join their team. As an Data /Analytics Engineer, you will be part of the Siri Data organization supporting the Analytics team. The ideal candidate will have a strong background in data engineering and analytics..
Job Title:
Data Engineer
Location:
Cupertino, CA
Pay Range:
Competitive
What's the Job?
Partner closely with Siri Data teams and Siri engineering teams to build information from complex and high-volume logging coming out of Siri computational processes.Become an expert in Siri's architecture and sources of data and help shape how Siri's functionality is instrumented.Build data, visualization, and other analytic products with a drive to automate and scale the insights available to engineering teams.Develop microservices that enable easier, programmatic integration of analytics across the Siri org.Build metadata and tools that support transparency and reproducibility around analytics.What's Needed?
Experience engineering metrics and statistical information out of massive and complex datasets (e.g. Hive, Spark MLlib, Druid, Solr, Kafka).Fluency in at least one programming language (e.g. Python, Scala) and comfortable developing code within a team environment (e.g. git, testing, code reviews).Ability to build robust data and analytic pipelines and have a keen eye for where to automate (e.g. Oozie, Airflow).Self-motivation and curiosity with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.High tolerance for ambiguity. Ability to find a way through, anticipate, connect, and synthesize.Excellent verbal and written communication skills to influence decisions.B.S., M.S., or PhD in Computer Science, Computer Engineering, Statistics, Bioinformatics, Applied Mathematics, Physics or equivalent practical experience.What's in it for me?
Opportunity to work on a product that is redefining mobile and desktop computing.Contribute to the next revolution in human-computer interaction.Work with the people who built the intelligent assistant that helps millions of people get things done-just by asking.Partner with Siri Data teams and Siri engineering teams to build information from complex and high-volume logging coming out of Siri computational processes.Build data, visualization, and other analytic products with a drive to automate and scale the insights available to engineering teams.
Job Title:
Data Engineer
Location:
Cupertino, CA
Pay Range:
Competitive
What's the Job?
Partner closely with Siri Data teams and Siri engineering teams to build information from complex and high-volume logging coming out of Siri computational processes.Become an expert in Siri's architecture and sources of data and help shape how Siri's functionality is instrumented.Build data, visualization, and other analytic products with a drive to automate and scale the insights available to engineering teams.Develop microservices that enable easier, programmatic integration of analytics across the Siri org.Build metadata and tools that support transparency and reproducibility around analytics.What's Needed?
Experience engineering metrics and statistical information out of massive and complex datasets (e.g. Hive, Spark MLlib, Druid, Solr, Kafka).Fluency in at least one programming language (e.g. Python, Scala) and comfortable developing code within a team environment (e.g. git, testing, code reviews).Ability to build robust data and analytic pipelines and have a keen eye for where to automate (e.g. Oozie, Airflow).Self-motivation and curiosity with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.High tolerance for ambiguity. Ability to find a way through, anticipate, connect, and synthesize.Excellent verbal and written communication skills to influence decisions.B.S., M.S., or PhD in Computer Science, Computer Engineering, Statistics, Bioinformatics, Applied Mathematics, Physics or equivalent practical experience.What's in it for me?
Opportunity to work on a product that is redefining mobile and desktop computing.Contribute to the next revolution in human-computer interaction.Work with the people who built the intelligent assistant that helps millions of people get things done-just by asking.Partner with Siri Data teams and Siri engineering teams to build information from complex and high-volume logging coming out of Siri computational processes.Build data, visualization, and other analytic products with a drive to automate and scale the insights available to engineering teams.