Key Responsibilities:
• Architect and implement scalable data pipelines to process large volumes of advertising data in real-time
• Develop and optimize ETL processes to integrate data from various sources into our data warehouse
• Design and maintain data models to support reporting, analytics, forecasting, and machine learning initiatives
• Collaborate with cross-functional teams, including software developers, applied scientists and business analysts, to understand requirements and translate them into technical solutions
• Implement data quality checks and monitoring systems to ensure data accuracy and reliability
• Optimize query performance and data storage solutions for improved efficiency
• Support the development of business intelligence tools and dashboards for actionable insights
• Contribute to forecasting models by providing clean, reliable data sets
• Mentor junior engineers and contribute to the team's best practices and coding standards
Requirements:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in data engineering, with a focus on big data technologies
• Expertise in SQL and experience with big data processing frameworks (e.g., Apache Spark, Hadoop)
• Proficiency in at least one programming language such as Python, Java, or Scala
• Experience with cloud-based data solutions, preferably AWS services (e.g., Redshift, S3, EMR)
• Strong understanding of data modeling, data warehousing, and ETL processes
• Experience in supporting data science and forecasting projects
• Familiarity with business intelligence tools (e.g., Tableau, PowerBI) is a plus
• Knowledge of ad tech and digital advertising concepts is advantageous
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a collaborative environment
At Amazon Ads, you'll have the opportunity to work on cutting-edge advertising technology that impacts millions of users and generates billions of impressions daily. Your work will directly contribute to data-driven decision making, scientific advancements, and business growth in the digital advertising space. Join our team and help shape the future of advertising technology through robust data engineering solutions!
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
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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 $139,100/year in our lowest geographic market up to $240,500/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.