The Data Engineer role within Google's Global Business and Operations team focuses on building foundational data infrastructure that supports Google's advertising products. The team is responsible for developing internal tooling for sales, marketing, and service teams, while also owning critical data pipelines and infrastructure. This position requires collaboration with various stakeholders to ensure data requirements are met and to drive value for customers. The role emphasizes the design, development, and maintenance of robust data solutions.

• 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 system integration using internal and external stacks.

• Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using SQL, Java, Python, and other technologies.
• Develop and manage the data warehouse storage layers, leveraging Google BigQuery and other technologies.
• Create and maintain data marts and presentation layers to support reporting and analysis needs.
• Collaborate with product owners, business stakeholders, and data analysts to understand data requirements and translate them into technical solutions.
• Contribute to the development and implementation of data governance policies and procedures.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.