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Data engineer coyote

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This is a Full-time position in San Jose, CA posted July 10, 2019.

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Data Engineers develop and maintain infrastructures that allow for the collection and storage of data.

We are looking for Data Engineers who can help us turning data into a format that makes it valuable for analysis and more.

Some of the infrastructure Data Engineers are responsible for building and maintaining include databases and large-scale dataset processors, which allow for the acquisition, mining, modeling and authentication of vast quantities of data.

It is other teams that take that data and make it tell a story, but without Data Engineers, the architecture would not be available to collect, store and utilize that important data.

The creation and maintenance of large-scale data structures that help users generate, store and manage big data.

The development of tests that allow for the data warehouses to be deemed reliable The design and deployment of more sound data architecture to replace faulty structures.

Communicating with team members and other colleagues and managers progress on big data structures using the proper verbiage per audience.

Keeping business needs in mind when collaborating on and designing data structures.

Using cutting-edge technologies and common scripting languages Skills An engineer who consistently demonstrates their proficiency in handling big data.

Having a firm grasp on database solution tools, such as SQL, Cassandra and Bigtable Proficiency with programs like Redshift and/or Panoply for data storage and StitchData and/or segment to handle ETL tools.

Someone who is curious and always willing to implement the latest and greatest technologies An engineer who is a consummate team player but can also work well alone.

Possessing an analytical and logical mindset These Would Also Be Nice Excellent communication skills Understanding business needs while being client focused Going the distance to make projects a success A willingness to take on new responsibilities Eager to get their hands on new technologies