• Location: USA, Georgia, Atlanta
  • Salary: US$115000 - US$130000 per annum
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 9th Mar, 2020
  • Reference: JFI03092020_1583791244
This mid-level data engineering role will allow you to further develop your skills in big data and cloud technologies primarily on the AWS Ecosystem in a collaborative environment.

Data Engineer- AWS Big Data-Atlanta, GA- 115K+

Roles and Responsibilities:
* Access, document and translate goals, objectives, problem statements to offshore and onshore management
* Asses use cases for numerous teams within the client company
* Develop data models
* Advise on database performance
* Document and report product response in order to increase user experience

Skills and Qualifications:
* Bachelor's degree in Computer science or equivalent
* Experience with Cloud Platforms (AWS, GCP, or Azure)

* Experience with Spark & Scala is a must

* Experience with Columnar Store Databases
* Customer facing experience is a plus

Company Rewards:
* Benefits package
* Salary- $100K+
* Collaborative work environment
* 401K match
* Bonus (Company & Performance Based)

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professional on the planet. Back by private equity firm TPG Growth, we have a proven track record servicing the AWS permanent and contract recruitment market and, to date, have worked with over 30,000 organizations globally from our offices in North America, Europe, and Asia-Pacific.

At Jefferson Frank, our mission is simple: we want happy customers. Whether you're an AWS professional walking into your dream AWS job, or an organization hiring an incredible contractor for your cloud migration project, our goal is to deliver an unrivaled customer experience. Work with us and you'll get the personalized experience you deserve- one you'll simply not find at any other recruitment agency. At Jefferson Frank, we find great people great jobs in AWS.

Big Data / Data Science / Hadoop / BI / Business Intelligence / Azure / Cloud / AWS / Big Data / Hadoop / Scala / Python / Apache / Hive / Spark / AWS Big Data / Analytics / Advanced Analytics / Machine Learning / ML / IoT / Amazon Redshift / Amazon Kinesis / AWS Glue / Amazon EMR

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