• Location: USA, California, Santa Monica
  • Date Posted: 17th May, 2019
  • Reference: SE0517193_1558120484
Jefferson Frank is looking to contract on a full scope AWS Big Data Engineer to source internal and external data sets that support clients. This position entails working with the machine learning and data science teams on unstructured and structured data sets.

Job Description:

Build data pipelines using tools like Kinesis, EMR, Datapipe, Lamba and/or others

Ingest, process, and compute metrics from persisted and activity data using tools like Spark and Python

Verify data integrity used for analysis and optimize it for consumption

Necessary Requirements:

* Strong Big Data Engineering experience


* AWS experience (i/e: Kinesis, Lambda, EMR, EC2, S3, etc.)

* Experience using Hadoop tools (Hadoop, Hive, Hbase, etc.)

Why You Should Work Here:

-Potential for extension

-Exposure to bleeding edge technology

-Competitive rate

-Great company culture

If you or someone you know is interested in this role, please contact Sean Evers immediately at s.evers@jeffersonfrank.com with your most recent resume.

Jefferson Frank is the global leader for Amazon Web Services recruitment, advertising more AWS and Big Data jobs than any other agency. We deal with both AWS Partners & End Users throughout North America. By specializing solely in placing candidates in the AWS and Big Data market I have built relationships with most of the key employers in North America and have an unrivalled understanding of where the best opportunities and AWS / Big Data jobs are. I understand the need for discretion and would welcome the opportunity to speak to any Amazon Web Services candidates that are considering a new career or job either now or in the future. Confidentiality is of course guaranteed. Please see www.jeffersonfrank.com for more fantastic Amazon Web Services opportunities!

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