Data and AI Engineer, Google Cloud
Posted Updated 11
views
Summary
Design and build cloud data platforms, ML pipelines, and AI solutions for customers using Google Cloud’s AI models and big-data tools.
- Advise customers on technical architectures and data strategies
- Apply data structures and algorithms
- Architect cloud data platforms
- Architect data warehousing solutions
- Build ETL and ELT pipelines
- Build distributed machine learning solutions
- Deliver big data and machine learning solutions
- Deploy streaming and batch workflows
- Design agentic platform deployment monitoring and evaluation
- Design recommendation engines
- Develop data analytics and visualization solutions
- Ensure agentic governance and security
- Implement data pipelines
- Integrate reporting and analytics tools
- Lead pre sales solutioning for data and AI agreements
- Troubleshoot technical issues
- Use Google AI models and products
- Write Python Scala and R software