Data Engineer, ML Service, Advertising Readiness

Job summary
At Amazon Advertising, we are dedicated to drive measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.

We are hiring a Data Engineer (DE) to help us deliver on a key global goal of setting up an ML-based, real time service that will help segment our customers and continuously feed recommendations to both global Ads and Consumer teams to improve customer success.

The person hired will help build the data-sets to underpin the ML models as well as help create the output pipeline. They will be working very closely with a data science team and a scale Data Engineering team. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data-sets to answer business questions and drive growth. This is a highly visible role with global scope, senior leadership exposure, international stakeholder management and some international travel. The team is located in NYC and London, both locations are an option for this role.


The primary responsibilities of this role include:
· Design, develop and maintain scalable, automated, derived / or non-derived, insightful data-marts and tables which will be the main input for the models, reports and dashboards
· Use analytical and statistical rigor to solve complex problems and drive business decisions.
· Write high integrity code to retrieve and analyze data from database tables (Redshift), learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use
· Explore new datasets, onboard them into our data cluster and scale for WW use
· Set up ingest, analyse, output processes
· Set up mechanisms to proactively measure quality of outputs
· Create and maintain key program reports

Basic Qualifications

· Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
· Knowledge of data management fundamentals and data storage principles
· Knowledge of distributed systems as it pertains to data storage and computing

Preferred Qualifications

· 5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience working with AWS big data technologies (EMR, Redshift, S3)
· Demonstrated strength in data modeling, ETL development, and data warehousing
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations



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.