senior Big Data/Machine Learning Engineer in Richmond, VA at Pyramid Consulting, Inc

Date Posted: 6/18/2020

Job Snapshot

Job Description

Immediate need for a talented senior Big Data/Machine Learning Engineer with experience in the Insurance Industry.This is a 10+ Months Contract opportunity with long-term potential and is located in Richmond, VA. Please review the job description below.
Job ID: 20-20586

Key Responsibilities:
  • Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data applications
  • Building efficient storage for structured and unstructured data
  • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spar on AWS Cloud
  • Utilizing programming languages like Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services
  • Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Ruby, Git and Docker
  • Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Key Requirements and Technology Experience:
  • Bachelor’s Degree or military experience
  • At least 4 years of professional work experience in Big Data development/ Data warehousing
  • At least 4 years of ETL design, development and implementation experience
  • 4+ years of experience with the Apache Spark
  • 4+ years Python or Java development experience
  • 4+ years of Agile engineering experience
  • 3+ years of experience with Cloud computing (AWS)
  • 5+ years of ETL experience
  • 5+ years of scripting experience
  • 5+ years' of experience with Relational Database Systems and SQL
  • 5+ years of UNIX/Linux experience
Our client is a leading Insurance Industry and we are currently interviewing fill this and other similar contract positions. If you are interested in this position, please apply online to for immediate consideration. 


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