About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
What they're looking for
- Bachelor's degree or equivalent practical experience
- 3 years of experience coding in one or more programming languages
- 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts
- 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.)
More about this role
- Define the architecture and technical solution for a harmonized data infrastructure, leading complex ETL constraints across both internal and external Google.org data systems.
- Develop a harmonized data repository and algorithmic data infrastructure solutions that simplify reporting and visualization across Google.org data tools.
- Execute zero-downtime data migrations with shadow testing and automated rollback checkpoints.
- Build well-structured data assets and tables powering dashboards and self-service AI-powered BI analytics tools.
- Implement AI-assisted data validation workflows.
- Bachelor's degree or equivalent practical experience.
- 3 years of experience coding in one or more programming languages.
- 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
- 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
- 3 years of experience with statistical methodology and data consumption tools such as business intelligence platforms and Jupyter...
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