Google Cloud Platform Data Engineer with Bigdata

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 11 day((s))

Skills

Java
Python
BigData
GoLang
IAM
BIGQuery
gcp
GKE
Dataproc
VPC
Cloud Logging
Security controls
IaC (Terraform)
Container & Orchestration Technologies
Logging and Monitoring tools
Composer
Dataflow

Job Details

Role: Google Cloud Platform Data Engineer with Bigdata

Location: Phoenix, AZ (Onsite from Day 1)

Job Type: Contract

Required: Google Cloud Platform; Agile Champion; Big Data; Java; Go; Python


Job Description:

  • Bachelor's or master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience
  • 1-5 + years of experience with Infrastructure automation tools (Terraform), with a focus on IaC and immutable infrastructure
  • 1-5 + years of experience with Google Cloud Platform cloud foundational offerings IAM, VPC, Cloud Logging, Security controls, Storage and Compute
  • In-depth understanding of Google Cloud's GKE Enterprise, Serverless, BigData and Data analytics native offering such as Dataproc, Composer, Dataflow, BQ and other technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis.
  • Software development experience in one of the OO programming language: Java, Go and or Python
  • Understanding of good cloud architecture to ensure high availability while ensuring the highest level of security and visibility.
  • Strong background of Container & Orchestration Technologies such as Docker, Kubernetes, Openshift
  • Understanding of Traffic Flow Management, to include Service Mesh concepts, with experience in Istio preferred, as well as how GTM and LTMs manage traffic flows.
  • Experience with Logging and Monitoring tools such as Stackdriver, Prometheus and OTEL.
  • FinOps (cloud) domain knowledge preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.