Google is hiring for Software Engineer

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Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
1 year of experience in data engineering or business intelligence roles.
Experience with relational databases, including SQL queries, database definition, and schema design.
Experience with one or more programming languages (e.g., Python, Java, C++, etc.).

Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users.
Work with analysts to scale value-creating capabilities, including data integrations and transformations, model features, as well as statistical and machine learning models.
Drive standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.
Engage with the analyst community, communicate with analysts to understand critical user journeys and data sourcing inefficiencies, advocate best practices, and lead analyst trainings.