The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $130000 - $187000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability.
Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., PLX, Datastudio, Tableau, etc.).
Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training/models.
Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training.
Minimum qualifications
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 through exploratory queries and scripts.
Experience building ETL pipelines and working with data processing frameworks.
Preferred qualifications
3 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
3 years of experience developing project plans and delivering projects on time within budget and scope.
Experience with Machine Learning for production 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 through exploratory queries and scripts.
Experience building ETL pipelines and working with data processing frameworks.
