G

Google

Runs Search and YouTube and builds Gemini AI

Data Engineer - Technical Solutions, Geo

Data EngineeringConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • Three years of experience coding in one or more programming languages.
  • Three years of experience working with data infrastructure and data models through exploratory queries and scripts.
  • Experience building extract, transform, and load (ETL) pipelines and working with data processing frameworks.

Responsibilities

  • Design and build data processing systems with emphasis on security, compliance, scalability, efficiency, reliability, and portability.
  • Create or consult on data visualizations using business intelligence tools such as PLX, Data Studio, and Tableau.
  • Develop and maintain data models, pipelines, and exchange formats for visualization, analysis, and interpretation of data, and for use in machine learning training and models.
  • Support data users by maintaining reports, queries, and dashboards; answering user questions; authoring documentation; and delivering training.
  • Manage technical relationships with large advertising clients and/or product partners.
  • Lead cross-functional teams in Engineering, Sales, and Product Management to apply emerging technologies for external clients and partners.
  • Oversee the technical execution and business operations of online advertising platforms and/or product partnerships, from concept design and testing through data analysis and support.
  • Balance business and partner needs with technical constraints, develop solutions, build tools, automate products, and develop product strategy while prioritizing projects and resources.
  • Implement partner solutions from onboarding through optimization.
  • Address operational challenges in data processing, tracking, and quality to improve pipeline scale and reliability, reduce manual effort, and accelerate data delivery and publishing to Google Maps.

Desired Qualifications

  • Three years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, Jupyter notebooks, Tableau, Power BI, Data Studio, and business intelligence platforms.
  • Three years of experience partnering with stakeholders such as users, partners, and customers, and managing stakeholders or customers.
  • Three years of experience developing project plans and delivering projects on time within budget and scope.
  • Experience with machine learning for production workflows.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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