Required Skills

GCP cloud vendor CT 151 Farmington Hartford CT 06156 Big Data ASAP Python

Work Authorization

  • Us Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 20th Nov 2020

JOB DETAIL

Start: ASAP

Duration: 6 month contract with opportunity to extend in additional 6 month increments (h1s OK)

Interview Process: Technical phone screen + WebEx (2 rounds)

Rate: $60-65/HR C2C

Background Check:

7 year criminal (federal, county, state)

Employment verification – 7 years

Education verification

Drug test - 10 panel

Hours / Shift: First – 40 hours / week + on call for production support team (rotation)

Notes: It can be as quickly as take a few days and up to 2 weeks to confirm a start date for candidates after they accept the verbal as the ITERR form approval process moves through the internal course

Dress code: Business casual

 

CVS / Aetna is seeking a Big Data Infrastructure Engineer (contractor) to join a knowledgeable, highly-skilled and motivated team responsible for the delivery, support and maintenance of the CVS / Aetna Big Data Platform. The ideal candidate would have a deep knowledge of Big Data technologies and would be able to hit the ground running. This individual would need to understand the differences between Hadoop 3 and Hadoop 2 and understand the different distributions of Hadoop that are on the market (HDP/CDP/CDH).

 

   Must haves:

·         6+ years as a Big Data Engineer/Admin experience (Hortonworks Hadoop admin)

The Hortonworks Data Platform (HDP) is highly desired over Cloudera. 

·         3+ years working with the cloud and big data

·         1+ years with GCP (Google Cloud Platform) and knowledge of DataProc and Big Query

·         Container experience – examples: Docker, Kubernetes, OpenShift

·         DevOps/Automation Engineering experience (Deployment manager, Terraform Ansible, Salt, Git, Jenkins

·         Proficient in Python

·         Exposure/Experience in a production environment

 

Nice to haves:

·         On prem Hadoop experience

·         Scala/Spark

Company Information