Data Engineer, Product Data Warehouse, Go-To-Market

Job description

Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.). - 5 years of experience coding in one or more programming languages. - 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. Preferred qualifications: - 5 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. - Experience in ad sales, ad support, finance, data science, or strategy and operations roles. - Familiarity with Google's Search and Measurement products. - Knowledge of business intelligence platforms, distributed databases, data analysis tools, and code review systems. About the job: The Product Data Warehouse (PDW) team within Go-to-Market tr...