Data Engineer, Finance Allocation Engine
Data Engineer, Finance Allocation Engine
Posted on :
03-06-2025
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1 Vacancy
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Job Description
Operations Finance Technology team responsible for building technical solutions for multi-billion WW Operational Cost analytic including Inbound cost (Receiving / PO) variable Cost fixed cost outbound (Customer Shipments / Transportation) and Customer Service is looking for a Data Engineer.
As a data engineer you will get the exciting opportunity to work on very large data sets in one of the worlds largest and most complex data warehouse environments. You will work closely with the business teams in analysis on various cost savings initiatives many non-standard and unique business problems and use creative-problem solving to deliver actionable output.
You will be responsible for designing and implementing an analytical environment using third-party and in-house reporting tools modeling metadata building reports and dashboards. You will have an opportunity to work with leading edge technologies like Redshift Hadoop/Hive/Pig. You will be writing scalable queries and tuning performance on queries running over billion of rows of data.
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- 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.
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
As a data engineer you will get the exciting opportunity to work on very large data sets in one of the worlds largest and most complex data warehouse environments. You will work closely with the business teams in analysis on various cost savings initiatives many non-standard and unique business problems and use creative-problem solving to deliver actionable output.
You will be responsible for designing and implementing an analytical environment using third-party and in-house reporting tools modeling metadata building reports and dashboards. You will have an opportunity to work with leading edge technologies like Redshift Hadoop/Hive/Pig. You will be writing scalable queries and tuning performance on queries running over billion of rows of data.
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- 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.
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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
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