Data Engineer, Publisher Ad Server, SupplyTech, Amazon Ads
DESCRIPTION
We are seeking a talented and experienced Data Engineer II to join our Publisher Ad Server team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines and infrastructure that support our ad serving platform. You'll work closely with cross-functional teams to ensure data accuracy, reliability, and scalability to meet the growing demands of our digital advertising ecosystem.
Key Responsibilities:
1) Design and develop robust, scalable data pipelines to ingest, process, and analyze large volumes of advertising data from multiple sources.
2) Optimize existing data models and create new ones to support ad serving, reporting, and analytics requirements.
3) Implement and maintain data quality checks and monitoring systems to ensure data integrity and reliability.
4) Collaborate with data scientists, analysts, and product managers to deliver actionable insights and drive data-driven decision making.
5) Develop and maintain ETL processes using modern data engineering tools and technologies.
6) Optimize query performance and data storage to improve system efficiency and reduce costs.
7) Implement data security and privacy measures to ensure compliance with industry regulations (e.g., GDPR, CCPA).
8) Contribute to the development of data architecture standards and best practices within the team.
9) Troubleshoot and resolve complex data-related issues in a timely manner.
10) Stay up-to-date with emerging technologies and industry trends in data engineering and ad tech.
About the team
PAS (Publisher Ad Server) builds and operates services that empower 1P publishers to improve monetization, enhance user experience, and reduce infrastructure costs. We bias toward industry standards and flexible designs that allow publishers to invent on top of our solutions and interoperate with other advertising technology providers. Our domain covers core auction functionality and yield optimization across the stages of an ad auction: orchestrating bid requests, selecting ads, and logging events. Our science drives the PAS “smart default” algorithms, including low-latency “decision” algorithms for pacing, podding, dynamic allocation, and auctions during deal/ad selection.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.