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Sr. Data Engineer, Display Ads

Sr. Data Engineer, Display Ads

Job ID 
Posted Date 
Company Services, Inc.
Position Category 
Business Intelligence
Recruiting Team 
North American Teams - G&A - Finance

Job Description

Join the Amazon Online Display Advertising team (also known as Amazon Media Group) - and build the next generation of advertising products and platforms for advertisers and developers. Amazon is building and investing in technology to unleash superior ROI for advertisers and monetization for developers. We are doing this with innovative advertising experiences, advertisers capabilities and developer tools, all backed by Amazon’s scale and commitment to customer experience.

The Amazon Media Group Yield team is looking for a talented Senior Data Engineer to play a key role in implementing our next generation datamart solution and making use of latest machine learning and big data technologies to provide deeper insights on the efficacy of our ad products and proprietary targeting solutions, delighting our customers with highly relevant marketing efforts.

As a Sr. Data Engineer on the Yield team, you will have the opportunity to work on one of the world's largest consumer and advertising datasets, as well as influence the long-term evolution of our analytics capability. You should be able to develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for the Amazon Media organization.

The ideal candidate will have extensive experience with traditional Data Warehouse (DW) concepts and have the aptitude to incorporate new approaches and methodologies while dealing with big data. The candidate should be enthusiastic about learning new technologies and be able to implement solutions using these technologies to empower internal customers and scale the existing platform. You should have excellent business and communication skills and be able to work with business owners to develop and define key business questions, then build the data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing reporting applications. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.

Basic Qualifications

  • 7+ years of professional experience in statistical analysis, data modeling, and data mining
  • Bachelor’s degree in Computer Science, Machine Learning, Operations Research, Applied Mathematics or related technical field
  • Expertise with SQL and relational database systems
  • Knowledge of data warehousing concepts
  • Experience in data mining, ETL, SQL etc. and using databases in a business environment with large-scale, complex datasets
  • Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams
  • Ability to work with shifting deadlines in a fast paced environment

Preferred Qualifications

  • MS in Computer Science, Machine Learning, Operations Research, Applied Mathematics or in another highly quantitative field
  • Fluency with business intelligence and visualization software (e.g., OBIEE, Tableau Server, etc.) to empower non-technical, internal customers to drive their own analytics and reporting.
  • Experience in designing and building large data warehouse systems
  • Experience with Python, R, Matlab/Octave or similar advanced data analysis programing language for development of basic Machine learning scripts
  • Ability to distill problem definitions, models and constraints from informal business requirements, and to deal with ambiguity and competing objectives

Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation