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18-00700 Quality Engineer - Cloud Data Technology - AWS EMR, AWS S3 and Spark
Ref No.: 18-00700
Location: Woodbridge, New Jersey
Position Type:Right to Hire
Start Date: 08/16/2018
Please let me know if you are coming available and this is a good fit for my direct client?   Contact  Denise  at   732 632 8815 

Quality Engineer -  Cloud Data Technology  - Testing  AWS EMR, AWS S3 and Spark
Location: Scranton, PA (Preferred) (Woodbridge/Iselin, NJ or Hartford, CT are optional)
Target Start Date:  Immediately
Years of Experience:  Senior (7 + years)
Right to hire:  Yes    7+ months contract to hire 

Scope of Work:
The Retirement Division is working on a Digital & Data Modernization project for the Migration of Data Structures to AWS (Amazon Cloud) and building of Microservices for data consumption.
•             Work with business partners to define and document software requirements
•             Code and build scalable products with a minimal footprint
•             Test the developed software
•             Work closely with business partners, analysts, testers and developers in a high performing team in a collaborative environment
  • 6-8 years of strong Design & Development experience with Relational and non-relational databases such as Aurora, Redshift, DynamoDB, Cassandra and/or MongoDB
  • 2-3 years of strong working experience with AWS EMR, AWS S3 and Spark
  •         Knowledge of Git based software configuration management is required
  •         Strong experience with working in Amazon AWS environment
  •         Understanding of non-relational databases such as DynamoDB, Cassandra  and/or MongoDB
  •         Experience in Dev-ops tools and technologies Docker, Jenkins is a plus
  •         Understanding of algorithms, data structures, and software design fundamentals
  •         Experience delivering business capabilities for Financial Services industry is a plus 
  •         Familiarity with continuous delivery, configuration management, continuous integration, and source control software processes and tools is desired
  •         Knowledge of different SDLC Methodologies (Waterfall, Agile, etc.)
  •         Possess excellent verbal as well as written communication skills
  •         Proven ability to learn and adapt to change quickly and easily
  •         Excellent organizational skills with ability to handle multiple tasks at a time