Data Infrastructure Engineer, Google Customer SolutionsChicago Staffing • United States
Data Infrastructure Engineer, Google Customer Solutions
Chicago Staffing
- United States
- United States
Über
This role may be located in New York, NY, USA; Ann Arbor, MI, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; or San Francisco, CA, USA. By applying to this position, you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Ann Arbor, MI, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA. Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 3 years of experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards). Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java). Preferred qualifications: Master's degree in a quantitative, or a related field. Knowledge of data visualization and dashboard tools (i.e., Tableau, PowerBI, or Looker). Familiarity with Google Ads products. Ability to manage multiple projects with varying priorities. Excellent communication and presentation skills to deliver findings of analysis. Excellent organizational and project management skills. About The Job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Responsibilities
Operate a stable infrastructure, working closely with Engineering teams and partners to continuously drive process improvements across various cross-functional partners. Develop and maintain data models, pipelines, and SQL scripts to assist in the visualization, analysis, interpretation of data. Perform data analysis and profiling using relevant tools, leveraging the data infrastructure, and existing data models with minimal guidance. Work with clients to identify their needs and clarify requirements and enable data driven decision-making by collecting, transforming, and publishing data. Follow and improve upon the technical best practices, including making data discoverable, thinking about the lifecycle of data, and managing master data well.
Sprachkenntnisse
- English
Hinweis für Nutzer
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