• Location: USA, Massachusetts, Boston
  • Salary: Up to US$140000 per annum
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 9th Jul, 2019
  • Reference: JF/070919CC_1562684837
Senior Data Engineer - Downtown Boston, MA

My client is an AWS Advanced Technology Partner that's located in downtown Boston. They specialize in big data management and enterprise analytics software. They're currently looking to expand their Field Operations team with talented Data Engineers.

Who you are: A smart, self-starter who is interested in growing and deepening their knowledge in the modern data management and data engineering space. This position encompasses elements of data science, data engineering, software architecture, consulting and business analytics.

Ideally, you should have extensive experience with the AWS Ecosystem and Big Data Technologies, such as the Hadoop Ecosystem. You should also have experience working in a customer-facing setting with strong communication skills.

Senior Data Engineer - Downtown Boston, MA

Requirements:

* Experience working with the AWS Ecosystem in production
* Hands on experience with the Hadoop Ecosystem
* Experience utilizing Spark and Scala
* Client-facing experience is a plus
* Willing to travel - 10%

Benefits:

* Extremely competitive base salaries & full benefits
* Stock options
* Strong and experienced technical management team
* Work with the latest technologies
* Extremely limited travel

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 / NumPy / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Scikit-learn/ Keras / TensorFlow / Boston / United States

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