Google Cloud Platform Data Engineer-Phoenix, AZ (Onsite)(Locals Only)

  • Phoenix, AZ
  • Posted 21 hours ago | Updated 21 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent

Skills

High Availability
Good Clinical Practice
Google Cloud Platform
Google Tag Manager (GTM)
Kubernetes
Management
Orchestration
Python
ROOT
Computer Science
Data Analysis
Data Flow
Docker
FOCUS
Google Cloud
Java
Sales
Security Controls
Software Development
Stackdriver
Storage
Articulate
Big Data
Cloud Architecture
Cloud Computing
Computer Engineering
Terraform
Virtual Private Cloud

Job Details

Role: Google Cloud Platform Data Engineer

Location:Phoenix,AZ (Onsite)(Locals Only)

Skills : Google Cloud Platform; Big Data; Java; Go; Python
JD : 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
Ability to effectively interpret technical and
business objectives and challenges and articulate solutions
Confirmed support of production systems at
scale.
Willingness to learn new technologies and
exploit them to their optimal potential
Act as consultant and subject matter expert for
internal stakeholders in engineering, sales, customer organizations to resolve
technical deployment obstacles and improve Google Cloud

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.