Google is a leading technology company, and they are seeking a Data Engineer for their Go-To-Market Product Data Warehouse team. The role involves developing data pipelines, dashboards, and Key Performance Indicators (KPIs) to monitor measurement and data products, while collaborating with sales and product leads to drive insights and product adoption.
Drive Ads and measurement feature adoption by developing scalable, shareable sales tools, dashboards, data, and programs using F1 query engine, and other tools to support key resources like connect sales.
Synthesize advertiser data and conduct analyses to deliver insights and actionable recommendations for product and sales leadership.
Define and prioritize KPIs to drive key global initiatives that will be used by regions, countries, and sales in all sales channels.
Be a strategic thought partner to commercial leaders of products like Marketing Mix Modeling (MMM).
Handle special projects as assigned.
Qualification
Required
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
1 year of experience in designing data pipelines (extract transform and load) and model data, for synch and asynch system integration and implementation.
1 year of experience in coding with one or more programming languages (e.g., Python, Java, C/C++).
1 year of experience in analyzing data, database querying (e.g., SQL), and creating dashboards/reports.
Preferred
Master’s degree in Engineering, Computer Science, Business, or a related field.
1 year of experience partnering with stakeholders (e.g., users, partners, customers).
Experience with data visualizations and business intelligence tools.
Experience with statistical analysis and modeling.
Experience in an ad sales, ad support, finance, data science, or strategy and operations role.
Benefits
Bonus
Equity
Benefits
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
