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.