Data Engineer, Product Data Warehouse
- linkCopy link
- emailEmail a friend
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 by performing exploratory queries and scripts.
- 3 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.).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- Experience developing project plans and delivering projects on time within budget and scope.
- Experience with statistical analysis and modeling.
- Experience with Google advertising and measurement products and solutions.
- Knowledge of Google tools and systems like DasNav, F1, and Critique.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/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 and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge 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.
The Product Data Warehouse team within Go-to-Market tracks adoption of Ads and measurement products and features. This is used to generate lead lists, analyze the value of various features, set priorities for sales teams, and to help influence the direction of Ads products. Our goal is to organize and produce data that's thoughtful, useful to sales teams, and widely accessible.
Responsibilities
- Support quarterly planning workflow used by promoters via an Extract, Transform, and Load (ETL) process that generates sales suggestions.
- Manage JavaScript-based configuration to integrate sales suggestions into Connect Sales, Google's Ads Customer Relationship Management (CRM).
- Drive and measure Ad sales activity by implementing business logic to suggest pitches and detect if pitches have been implemented.
- Synthesize advertiser/promoter data and conduct analyses to deliver insights and actionable recommendations for product and sales leadership.
- Manage special projects as assigned.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.