Data Engineer III, eCS Data Engineering and Analytics

Data Engineer III, eCS Data Engineering and Analytics

Are you passionate about data and code? Does the prospect of dealing with mission‑critical data excite you? Do you want to build data engineering solutions that process a broad range of business and customer data? Do you want to continuously improve the systems that enable annual worldwide revenue of hundreds of billions of dollars? If so, then the eCommerce Services (eCS) team is for you!

In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post‑fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers.

The goal of the eCS Data Engineering and Analytics team is to provide high quality, on‑time reports to Amazon business teams, enabling them to expand globally at scale. Our team has a direct impact on retail CX, a key component that runs our Amazon fly wheel.

Key Job Responsibilities

• Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda, etc.) and internal BDT tools (DataNet, Cradle, QuickSight, etc.).
• Improve existing solutions and create next‑generation data architecture to enhance scale, quality, timeliness, coverage, monitoring and security.
• Develop new data models and end‑to‑data pipelines.
• Create and implement a data governance strategy for mitigating privacy and security risks.

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 building data products incrementally and integrating and managing data sets from multiple sources.
• Experience building/operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets.
• Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions, and data engineering strategy.

Preferred Qualifications

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
• Experience providing technical leadership and mentoring other engineers on best practices in data engineering.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.