Analytics Engineer, Data Organization

A globally leading consumer device company headquartered in Cupertino, CA is looking for
Analytics Engineer
to build data and tools that enable analytics to inform product and engineering teams at scale, with the ultimate purpose of improving the product experience for their customers worldwide.

Job Responsibilities:

• Education B.S., M.S., or PhD in Computer Science, Computer Engineering, Statistics, Bioinformatics, Applied Mathematics, Physics or equivalent practical experience

• You will partner closely with Data teams and engineering teams to build information from complex and high-volume logging coming out of computational processes.

• Become an expert in architecture and sources of data and help shape how the product 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

• 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).

• You are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.

• You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.

• You can influence decisions with excellent verbal and written communications

skills.

Type:
Contract

Duration:
3 months with extension

Work Location:
Cupertino, CA (hybrid)

Pay range:
$ $ DOE)