Java Big Data consultant expertise in AWS

Java Big Data consultant with expertise in AWS

• Contract

Comtech is a woman-owned small business founded in 1998 and headquartered in Reston, VA. We offer IT solutions across the disciplines of program/project management, applications development, infrastructure, Cyber security, and enterprise content/data management services. We have developed our methodologies and processes based on the IT Infrastructure Library (ITIL) v.3 Framework across enterprise infrastructure operations. These methodologies and processes are reinforced through our organization’s externally accredited certifications, which include ISO 9001:2008 Quality Management System (QMS), ISO/IEC 20000-1:2011 IT Service Management Systems (SMS, corporate ITIL certification), ISO 27001:2005 Information Security Management System (ISMS), and CMMI-DEV Level 3

Java Big Data consultant with expertise in AWS

Location:

Orlando-FT or Seattle, WA

6 months extendable Based on expert skills.

Interview Process: 1 Skype Video Round , 2 Customer Skype rounds Based on expert skills.

JD:
The skills are to help me build the Data Management Cloud Platform:

• Looking for Engineers who have experience in Java, AWS Cloud, Big Data/Data Management knowledge, Experience in automation and/or building CICD pipelines.
• Experience in Java, AWS, Big Data is critical.
• Experience in Docker, Terraform, Jenkins, Python is optional.
• 8-10 years of experience in Core Java with at least 3 years of experience in Big Data.
• Infrastructure Expertise:
  Understanding of Amazon EMR and related technologies; EMR Configuration, Nodes, Pipeline Building, Security.
• Streaming Architecture & Programming Skills Expertise:
  Understanding of Streaming tools, availability and programming skills;
  Kafka and its basic challenges;
  High availability configuration and testing;
  Scala tools, Languages – Scala/Java/Python;
  Lambda Spark jobs and few other things related to Spark.
• Note:
  
  During profile screening check if the candidate has worked in Streaming Use Cases for 3-4 years or worked with high velocity - high volume data processing using Spark, Scala, Kafka.