Job Description :
Data Science Engineer | Canonsburg, PA
6 months +
Telephonic then face to face

They MUST have GREAT communication skills though. So, the more time in the US, the better.
Data Science Engineer, but more the Engineering (development side) than on the Science side of things.
First will be an hour long phone screen then TWO on site interviews so they must be able to come on site.

Description:
Duties
Develop and maintain a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
Develop patterns & frameworks for data initiatives including tasks data architecture, data ingestion, data preparation, data marts, and visualization analytics.
Develop apps and API’s for different data needs.
Build proof of concepts using new technologies as they become available.
Maintain a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
Collaborate with Data Scientists and other data professionals to translate data in to insights.
Support and/or lead aspects of key foundational and transformational project work streams.

Qualifications

Minimum of a Bachelor''s degree (or equivalent) and minimum of 5 years of experience. However, a combination of experience and/or education will be taken into consideration.
Minimum of 2 years of experience in engineering and data management required. Minimum of 1 year of experience with Big Data or Advanced Analytics preferred.
Knowledgeable in data tools/languages such as SQL, Spark, Python, Hive, C
Knowledgeable in business intelligence, data management, analytics, big data, data science.
Knowledgeable of data preparation with tools like Data Factory, Informatica, and Alteryx.
Exceptional communication and interpersonal skills - including facilitation, and consensus building skills; ability to influence and persuade, without direct control.
Ability to leveraging cloud based platforms for big data technologies, open source software and information management architecture and framework.
Knowledgeable in full stack .NET development within Azure is a plus.
Proficiency in speaking, comprehending, reading and writing English are required.


Client : multiple

             

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