About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor’s degree in Computer Science, Engineering, Computer Information

Systems, Mathematics, Physics, or a related field and 5 years of progressive

post-baccalaureate experience in the job offered or in a Data

Engineer-related occupation.

* Alternatively, will accept a Master’s degree in Computer Science,

Engineering, Computer Information Systems, Mathematics, Physics or a related

field, and 3 years of experience in the job offered or in a Data

Engineer-related occupation.

* Position requires 3 years of experience in the following: Data pipeline

design and dimensional data modeling for synchronous and asynchronous system

integration; Coding in Python, Java, Go, or C++ to build and maintain data

infrastructure; Data pipeline implementation using external or internal data

processing stacks; Data exploration by performing exploratory queries and

scripts on data models; and Data consumption and visualization using business

intelligence tools including Tableau, Power BI, or DataStudio.

ABOUT THE JOB:

Google's mission is to organize the world's information and make it universally

accessible and useful. Our Devices & Services team combines the best of Google

AI, Software, and Hardware to create radically helpful experiences for users. We

research, design, and develop new technologies and hardware to make our user's

interaction with computing faster, seamless, and more powerful. Whether finding

new ways to capture and sense the world around us, advancing form factors, or

improving interaction methods, the Devices & Services team is making people's

lives better through technology.

The US base salary range for this full-time position is $220,050 - $226,000 +15%

Bonus Target + equity + benefits determined by role, level, and location.

Individual pay is determined by additional factors, including job-related

skills, experience, and relevant education or training. Learn more about

benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

Position reports to the Google (Mountain View, CA) office & may allow for a

hybrid schedule as per Google policy.

RESPONSIBILITIES:

* Design and build secure, scalable, and reliable data processing systems and

infrastructure.

* Develop and maintain data models and pipelines to transform data for analysis

and machine learning.

* Enable data-driven decisions by analyzing data, profiling systems, and

deploying machine learning models.

* Create and consult on data visualizations and reports using various business

intelligence tools. Consult with cross-functional partners to define data

requirements, standards, and best practices.

* Provide ongoing support to data users by maintaining dashboards, authoring

documentation, and delivering training.

Which skills does this role require?

Data pipeline designDimensional data modelingPythonJavaGoC++Data infrastructureExploratory queriesTableauPower BIDataStudioData visualizationSystem integrationData EngineerData PipelineDimensional Data ModelingData InfrastructureExploratory QueriesData VisualizationSystem IntegrationBusiness IntelligenceCloud ComputingSoftware EngineeringHardwareData AnalysisDashboardingData ModelingInfrastructure DevelopmentCross-functional Collaboration

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