Amazoncom Hiring for Data Engineer, Marketing Measurement, CMO Job at Sunnyvale, CA Full Time

In this role, you will be owning first-of-its-kind data-management solution integrating Amazon 1P data with 3P data from advertising entities in privacy & security compliant manner to optimize Amazon’s advertising and marketing dollars.

The Campaign Measurement and Optimization (CMO) organization is strategically and uniquely organized with Product managers, Data/Applied Scientists, Economists, Software Developers and Data Engineers to solve the challenging problem of marketing measurement at Amazon scale by providing data driven actionable insights.

As a Data Engineer, you will be tasked with leading internal and external data acquisition and processing to building innovative machine learning products to optimize delivery of relevant and performant advertising experiences to customers. As a trusted engineering leader you will be given some of the most difficult data management, processing and intelligence generation problems to solve. You will need to develop and/or invent elegant mechanisms and cutting edge infrastructure processing capabilities that drive big data algorithms.

You will operate as a mix of hands-on builder, and influencer. You will work closely with engineers and scientists contributing to the ongoing development and evolution of the underlying machine learning systems and algorithms. While you will spend the bulk of the time spent as a builder for delivering your own data processing solutions but will be expected to review, influence and support similar development in other areas.

As a mentor, you will be a strong partner with science, product and engineering managers, supporting the skill and career development of junior scientists and engineers and educating the broader tech community strategic role of scientific innovations in furthering the advertising business.

You’ll be expected to:

• Design data processing systems and algorithms for optimizing marketing spend across Amazon and its Subsidiaries.
• Build systems that extract and process volumes of disparate data using a variety of econometric and machine learning approaches. These systems should be designed to scale with exponential growth in data and run continuously.
• Leverage knowledge of big data technologies, advanced software systems, business intelligence reporting and algorithm development to build our measurement and optimization engines.
• Serve as a technical lead on our most demanding, cross-functional projects and mentor a team of data engineers and junior machine learning scientists to deliver solutions to internal stakeholders including other modeling teams at Amazon.
• Contribute intellectual property through patent generation.
• Functionally decompose complex problems into simple, straight-forward solutions.
• Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.

About the team
Come be part of a cross functional (data engineers, data scientist and software engineers), self sufficient team that Leverage knowledge of big data technologies, advanced software systems, business intelligence reporting and algorithm development to build our measurement and optimization engines.Basic Qualifications

• 3+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL

• Experience using at least one of Python, Java, Scala, Spark Hands-on experience working with R/Matlab/Python or any other statistical language/package is required
• Experience with statistical modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks

Preferred Qualifications

• Experience working in a complex, service oriented software development
• Experience working on automated marketing technologies
• Four years’ experience working on advertising measurement and optimization. Three years’ experience working on analytics software
• Experience working with AWS Services, consuming, managing large scale datasets.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Basic Qualifications

• 3+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL

• Experience using at least one of Python, Java, Scala, Spark Hands-on experience working with R/Matlab/Python or any other statistical language/package is required
• Experience with statistical modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks

Preferred Qualifications

• Experience working in a complex, service oriented software development
• Experience working on automated marketing technologies
• Four years’ experience working on advertising measurement and optimization. Three years’ experience working on analytics software
• Experience working with AWS Services, consuming, managing large scale datasets.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.