• Jefferson Frank
  • $93,145.00 -148,420.00/year*
  • Washington, DC
  • Information Technology
  • Full-Time
  • 3125 V St NE

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Senior Big Data / AWS Architect - Washington D.C. Metropolitan Area

Description:

Have you spent your career building towards a career in Big Data Architecture? Have you been day dreaming about a new role, one where you can grow and thrive with a fantastic company culture and cutting edge technology?

My client is hiring an AWS Architect to specialize in Big Data technologies as soon as possible for an incredibly generous compensation and benefits package. The role has some remote possibilities but is located in the firm's Washington D.C. office primarily.

Role & Responsibilities:

  • Lead a team to develop and execute your vision to create a specialized product for end users.
  • Quickly bond with your team and company as a whole to most effectively work on time-sensitive projects for influential and powerful end users.
  • Continue your education and training through the firm's top notch programs for growth and development.

Requirements:

* Experience and knowledge in Python, Spark, Scala, and R

* Extensive knowledge of AWS Pipelines and Database Use

* AWS Architecting and Proof of Concept experience.

* Experience with data processing tools in the AWS environment

To apply, please contact me at [Click Here to Email Your Resum] and send a resume as an attachment - I'm excited to meet you!

Jefferson Frank is the global leader for AWS and Big Data recruitment, advertising more AWS careers than any other agency. We deal with both AWS Partners & End Users throughout North America. By specializing solely in placing candidates in the AWS market I have built relationships with most of the key employers in North America and have an unrivaled understanding of where the best opportunities and AWS jobs are.



Associated topics: data analyst, data analytic, data architect, data center, data integration, data manager, database administrator, erp, hbase, mongo database administrator

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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