• Location: USA, California, Santa Clara
  • Salary: Up to US$100000 per annum + Bonus
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 17th May, 2019
  • Reference: 13/11/18jp_1558120974
AWS Data Engineer- AWS Partner- Santa Clara, CA- $100K

I am shortlisting candidates for a Data Engineer with an AWS Partner in Santa Clara. This is an onsite role 5 days a week in the Santa Clara location working collaboratively with the Data Engineering team.

Experience required:

* Must have experience in SQL and Python(Boto3 library)

* Exposure to Big data on AWS (like DataPipeline, Batch, AWS Glue, S3, EMR/EC2)

* Knowledgeable on HIVE

* Experience and detailed knowledge of relational, OLTP, SQL, SQL performance tuning, dimensional and OLAP databases and technologies

* Supporting AWS and on-premise (SSMS SQL) environments Skill Summary: AWS- S3, Redshift, Aurora, DynamoDB , Monitoring on data base, SQL, Python

**If you are interested in learning more please send resumes to j.palmer@jeffersonfrank.com or call 303.558.4356**

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professionals on the planet. Backed 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 unrivalled 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/ AWS/ Engineering/ Amazon Web Services/ data/ California/ Santa Clara/ CA/ AWS Partner/ Data Pipeline/ Data Warehousing/ Data Modelling

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