Big Data Engineer

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

Impact
Ever wondered how Amazon offers the Earths 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 Amazons continued profitability and growth.

Innovation
Were 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. Were 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/SDEs to implement AI based agentic analysis

- 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)

- 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 WA Seattle - 101300.00 - 160000.00 USD annually


Required Experience:

IC

ImpactEver wondered how Amazon offers the Earths 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 g...
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