Data Engineer I, Sales Data Services (SDS)

Amazon Advertising operates at the intersection of eCommerce and advertising offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on across our other owned and operated sites on other high-quality sites across the web and on millions of Kindles tablets and mobile devices. We start with the customer and work backwards in everything we do including advertising. If youre interested in joining a rapidly growing team working to build a unique world-class advertising group with a relentless focus on the customer youve come to the right place.

SDS is part of the Sales Intelligence Technology & Enablement organization (SITE). We are a big-data focused engineering team that provides unique pan-Amazon datasets consolidating advertiser seller and vendor KPIs exposed via data warehousing fast APIs and agentic soutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes ML account management marketing and decisioning systems.



Key job responsibilities
- Design implement and support data warehouse / data lake infrastructure using AWS big data stack Python Redshift.
- Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
- Empower technical and non-technical internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Develop deep understanding of vast data sources and know exactly how when and which data to use to solve particular business problems.
- Manage numerous requests concurrently and strategically prioritizing when necessary collaborate across teams to deliver results.
- Mentor other engineers influence positively team culture and help grow the team.

- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 111400.00 - 185000.00 USD annually