Data Engineer Amazon Shipping
Data Engineer Amazon Shipping
Posted on :
18-04-2025
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1 Vacancy
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Job Description
Amazons global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations Amazon warehouses and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages each with different attributes and delivery requirements what results is a highly dense graph of nodes.
We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows optimization algorithms and machine learning systems. These are largescale distributed systems handling millions of packages being shipped through the Amazon logistics network.
As a Data Engineer you will develop data pipelines datasets manage data infrastructures build automated BI services to support strategic planning within Amazon Shipping.
1 years of data engineering experience
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Bachelors degree in a quantitative/technical field such as computer science engineering statistics
Knowledge of distributed systems as it pertains to data storage and computing
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.
We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows optimization algorithms and machine learning systems. These are largescale distributed systems handling millions of packages being shipped through the Amazon logistics network.
As a Data Engineer you will develop data pipelines datasets manage data infrastructures build automated BI services to support strategic planning within Amazon Shipping.
1 years of data engineering experience
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Bachelors degree in a quantitative/technical field such as computer science engineering statistics
Knowledge of distributed systems as it pertains to data storage and computing
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.
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Full-Time
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