• Location: USA, New Jersey
  • Salary: Up to US$180000 per annum + Equity
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 9th Jul, 2019
  • Reference: JF/070919CC_1562681092
Data Engineering Consultant - NYC/NJ - $160-180K+

My client is an AWS Advanced Technology Partner that specializes in Machine Learning. They're currently looking for talented Data Engineering Consultants to join their team to help out on one of the CEO's special projects. This is a highly visible position within the organization where you'll be responsible for providing technical leadership and support across their business. You'll work with a team of data scientists and engineers to help drive requirements, development, design, and implementation of advanced platforms, tools, and systems in support of data science and machine learning initiatives.

Please see below the technical requirements for this position and if you're interested in learning more, apply!

Data Engineering Consultant - NYC/NJ - $160-180K+

Requirements:

* Extensive experience coding in Python in a production environment
* Experience with PySpark is a must have
* Experience working with Big Data technologies such as the Hadoop Ecosystem
* Experience working in a cloud environment (preferably AWS)
* Experience building end-to-end ETL pipelines

Benefits:

* Joining a fun, hard-working and collaborative team
* Competitive base salary and equity
* Free snacks & lunches
* Beer on tap!
* Company outings
* Comprehensive medical, dental and vision benefits
* Attend the biggest data science industry conferences

If you are interested in this position, please call me (Casey Carton) at 212-731-8282 or simply send me your resume to my email address - c.carton@jeffersonfrank.com. Act fast, as this opportunity will most likely be off the market in the near future.

I understand the need for discretion and would welcome the opportunity to speak to any AWS Big Data candidates that are considering a new career or job either now or in the future. Confidentiality is of the utmost importance. For more information, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.

AWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / GCP / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Boston / United States

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