Big Data Engineer

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Fort Worth, TX

Industry: Data Storage

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Not Specified years

Posted 286 days ago

This job is no longer available.

COMPANY PERKS:

Excellent compensation and benefit package! * Great culture! * Flexible work start time between 7 - 9 am * Remote work after first 3months of employment * Growth oriented company! * No micromanaging here. They want people to be innovative, come up with new ideas, research new technology to implement, etc. * Very casual (they wear shirt/shorts in summer, polo or long sleeve shirt/jeans during winter). * They have beer every Friday, catered lunch every Wed, catered breakfast every Friday, offsite happy hour once a month.

Must be US Citizen or have a Green Card.

This position is due to growth in the organization. The company has grown its clientele 50% year after year since it was established in 2010.

If hired, you will have the opportunity to truly work withBig Data. The client has roughly 100 Terabytes of data in their data warehouse and nearly 1 Petabyte in their Hadoop cluster.

They handle over 70 billion messages a day funneled through Kafka topics and integrate with a real time system that processes nearly 3 million queries per second on over 60,000 active campaigns.

The Data Engineering team is responsible for moving and transforming massive datasets into valuable and insightful information.

The Data Engineering team works very closely with all aspects of operational data, both internal and external. The client is hiring Data Engineers with the Software Engineering capabilities to not only build data pipelines that efficiently transform and move data across systems, but also to build the next generation of data tools that will enable us to take full advantage of this data. In this role, your work will broadly influence the company?s clients and internal analysts.

Skills/TechnologiesRequired:

?  Experience in Big Data ecosystem (Hadoop, Spark, Kafka, etc.)

?  Proficiency in Ruby or Python development

?  Familiarity with column-oriented Big Data systems such as Vertica or Cassandra.