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Data Engineer (Remote)

Job Title
Data Engineer (Remote)
Job ID
27684906
Work From Home
Yes
Location
Morris Plains,  NJ
Other Location
Description

Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.

Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.

Conexess Group is aiding a large healthcare client in their search for a Data Engineer in a remote capacity. This is a long-term opportunity with a competitive compensation package.

******We are unable to work C2C on this role******

Responsibilities:

  • This is a hands-on role development role. 

  • The Software Engineering Senior Advisor is required to design and develop consolidated, conformed Enterprise Data Warehouses and Data Lakes which store all critical data across Customer, Provider, Claims, Client and Benefits data. 

  • Using a verity of technology including Ab Initio, BTEQ and PySpark, the Software Engineering Advisor develops code in adherence to best practices which acquires data from a verity of both structured and unstructured data sources and loads this data-to-data models which are implemented in a variety of technologies. 

  • These Targets include Teradata, Hive, HDFS, AWS S3, and AWS RDS.   

  • Participates in the delivery of the definitive enterprise information environment that enables strategic decision-making capabilities across enterprise via an analytics and reporting.

Qualifications:   
Hands on experience with the following technologies:

  • Ab Initio

  • Teradata

  • SQL

  • Unix/Linux

  • KSH

  • Python

  • PySpark

  • Hive

  • AWS

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