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.