Big Data Engineer

Impact
Ever wondered how Amazon offers the Earth's biggest selection and still manages to offer lower prices every day to our customers? Our retail business teams work with a massive array of vendors and business financial performance metrics to expand selection and drive costs lower. Given the rapid growth of our business, this requires our category leaders, financial analysts, site merchandisers and vendor managers to quickly analyze vendors, categories and brands, diving deep into data showing business efficiency down to the unit sale level. The technology that enables this has huge visibility and impact and is critical to Amazon's continued profitability and growth.

Innovation
We're working on the future. If you are seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real world problems. If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity. The responsibilities of this role will be key in paving the future of Amazon Retail and transforming how we do business.

Opportunity
You will be part of a team of creative, top-notch software developers to work hard, have fun, and make history. Software engineers at Amazon are more than just order takers; they see a problem and leverage innovative technology to address it. You will be working with very large data sets, well beyond the scalability limits of conventional relational databases. We're looking for people who innovate, love solving hard problems, and never take "no" for an answer.

Key job responsibilities
As part of our team, you will:
• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.
Creation and support of real-time data pipelines built on AWS technologies.
• Incremental processing of data using Iceberg adn Spark
• Collaborate with other Engineering teams, Product/ Managers/SDE's to implement AI based agentic analysis

Basic Qualifications

- 3+ 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)

Preferred Qualifications

- 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 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.

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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually