Data Engineer / Platform Specialist on Google Cloud Platform 100% REMOTE
Posted 1 day ago by 1761905344
Negotiable
Outside
Remote
USA
Summary: The role of Data Engineer or Platform Specialist on Google Cloud Platform involves designing and implementing analytics pipelines and governance solutions in a fully remote setting. The position requires collaboration with both technical and non-technical stakeholders to ensure effective communication and documentation of requirements. The contract duration is six months, with the potential for hire. Expertise in Google Cloud Platform services is essential for success in this role.
Key Responsibilities:
- Expertise in Google Cloud Platform architecture and services with a focus on streamlined end-to-end analytics pipelines and governance
- Familiarity with Google Cloud Platform data services including Data Flow, Data Prep, Data Form, Dataplex, Vertex AI, Cloud Composer, etc.
- Ability to liaison between LOB (technical and non-technical), technology partners, and vendors to document requirements and collaborate on best-fit technologies while identifying/managing risks
- Good communication skills to drive conversations between technology teams and business analytics teams, coordinate with vendors, and capture specifications to support business users
Key Skills:
- Expertise in Google Cloud Platform architecture and services
- Familiarity with Google Cloud Platform data services
- Strong communication skills
- Ability to document requirements and collaborate with stakeholders
- Risk management skills
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Engineer or Platform Specialist on Google Cloud Platform @ REMOTE
Data Engineer or Platform Specialist on Google Cloud Platform
Location: 100% REMOTE
Duration 6 months (Contract to Hire)
- Expertise in Google Cloud Platform (Google Cloud Platform) architecture and services with a focus on streamlined end-to-end analytics pipelines and governance
- [SS: Familiarity with Google Cloud Platform data services including Data Flow, Data Prep, Data Form, Dataplex, Vertex AI, Cloud Composer etc - mostly on the analytics side - Data Analytics Engineer]
- Ability to liaison between LOB (technical and non-technical), technology partners, and vendors to document requirements and collaborate on best-fit technologies while identifying / managing risks
- [SS: Good communication and able to drive conversations between technology teams and business analytics teams, coordinate with vendors, capture specifications to support the business users with the best fit solutions and tech]