Cloud Engineer, Data and AI
Job Description
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience architecting and deploying enterprise-grade cloud data platforms, incorporating both streaming and batch processing workflows.
- Experience writing software in Python, Scala, R, or similar.
- Experience with Gemini models, ADK, Gemini Enterprise, and other google AI products.
Preferred qualifications:
- 5 years of experience working with recommendation engines, data pipelines, or distributed machine learning.
- Experience with data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience with core data science techniques.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.