Overview
On Site
65/hr - 90/hr
Full Time
Skills
Application Development
DevOps
Data Engineering
Cloud Storage
SQL
Python
Bash
Continuous Integration
Continuous Delivery
Jenkins
GitLab
Data Modeling
Cloud Computing
Financial Services
Terraform
Google Cloud Platform
Google Cloud
Scripting
Design Architecture
Management
Collaboration
Job Details
This client, in the financial services industry, is looking to hire a Google Cloud Engineer who can design and deploy scalable data pipelines using Google Cloud Platform services. Experience with Google Cloud Platform services such as BigQuery, Pub/Sub, and Cloud Functions is essential. You'll work closely with Data, Application Development, and DevOps teams to implement cloud solutions that align with business goals. This is a 12 month contract that is Hybrid (onsite 3 days per week). Required Skills & Experience
- 5+ years of experience in Data Engineering
- Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) services: BigQuery, Cloud Storage, Pub/Sub, Cloud SQL, and Cloud Functions
- Proven ability to design and deploy end-to-end data pipelines on Google Cloud Platform
- Proficient in Python and Bash scripting
- Experience with CI/CD tools such as Jenkins or GitLab
- Strong understanding of cloud-native architecture and data modeling
- Google Cloud Platform Professional Data Engineer or Cloud Architect Certification
- Experience in financial services or other regulated industries
- Familiarity with infrastructure as code (Terraform, Deployment Manager)
- 70% Google Cloud Platform Services
- 20% Scripting & Automation
- 10% Collaboration & Design Architecture
- 80% Hands On
- 10% Management Duties
- 10% Team Collaboration
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.