Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.
Work you'll do
As a GCP Engineer on the AI & Data team, you will be responsible for…
- Build, configure, and support GCP-based data lake and data platform environments, including integrations
- Translate approved technical designs into implementation tasks, configurations, and deployment steps
- Develop and support cloud-based data pipelines, platform components, and environment setup activities
- Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
- Troubleshoot platform issues and support ongoing performance, stability, and operational needs
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
The team
AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.
Qualifications
Required:
- Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
- 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
- Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
- Experience developing or supporting data pipelines and platform integrations
- Experience translating technical designs into implementation tasks and deployment steps
- Limited immigration sponsorship may be available.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred:
- Experience in consulting, including experience serving healthcare industry clients
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