Data and AI Engineer, Google Cloud
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