Data Engineer Amazon
Data Engineer Amazon
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Core Shopping Analytics transforms disparate raw data into actionable insights to improve customer product & program discovery and evaluation across the Amazon store. In 2025 we will own the analytics for the Homepage Navigation Inspire MobileX List Detail Page and crossStore shopping experiences.
Key job responsibilities
You are a member of a 3 person DE team that owns the analytics infrastructure standardize logging and a central suite of fact and dim tables used by internal team members CS business & tech partners and Stores stakeholders across the globe. You will evolve our infrastructure to leverage latest technologies to balance accuracy and speed. You will partner with CS Tech teams to ensure new logging meets business and availability requirements. You will build and enhance central fact and dim tables to drive standardization and improve consumption by downstream consumers. Lastly you will collaborate with DE teams across Stores to share best practices.
A day in the life
We build in 5week Sprints with 1 week for planning and 4 weeks for . Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a selfdirected Learning Day. Over the 4 Weeks we have regular standups and a midsprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets conducting analysis and pushing learnings to customers.
About the team
Today we empower 615 Builders directly and 334 unique partner teams via our Source of Truth datasets selfservice dashboards/gits scheduled reports and custom metrics consumed for crossstore evaluation. In 2024 we supported new experiences endtoend from logging to reporting/selfservice and continued maturing our foundational service offerings to enable more bandwidth for insight generation.
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 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 for more information. If the country/region youre applying in isnt 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 $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
You are a member of a 3 person DE team that owns the analytics infrastructure standardize logging and a central suite of fact and dim tables used by internal team members CS business & tech partners and Stores stakeholders across the globe. You will evolve our infrastructure to leverage latest technologies to balance accuracy and speed. You will partner with CS Tech teams to ensure new logging meets business and availability requirements. You will build and enhance central fact and dim tables to drive standardization and improve consumption by downstream consumers. Lastly you will collaborate with DE teams across Stores to share best practices.
A day in the life
We build in 5week Sprints with 1 week for planning and 4 weeks for . Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a selfdirected Learning Day. Over the 4 Weeks we have regular standups and a midsprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets conducting analysis and pushing learnings to customers.
About the team
Today we empower 615 Builders directly and 334 unique partner teams via our Source of Truth datasets selfservice dashboards/gits scheduled reports and custom metrics consumed for crossstore evaluation. In 2024 we supported new experiences endtoend from logging to reporting/selfservice and continued maturing our foundational service offerings to enable more bandwidth for insight generation.
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 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 for more information. If the country/region youre applying in isnt 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 $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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