Data Engineer III, Amazon Last Mile
Data Engineer III, Amazon Last Mile
Posted on :
05-05-2025
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1 Vacancy
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Job Description
As part of the Last Mile Science & Technology organization youll partner closely with Product Managers Data Scientists and Software Engineers to drive improvements in Amazons Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale efficiency and quality of the routes we build for our drivers through our endtoend last mile planning systems. You will develop complex data engineering solutions using AWS technology stack (S3 Glue IAM Redshift Athena). You should have deep expertise and passion in working with large data sets building complex data processes performance tuning bringing data from disparate data stores and programmatically identifying patterns. You will work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Analytical ingenuity and leadership business acumen effective communication capabilities and the ability to work effectively with crossfunctional teams in a fastpaced environment are critical skills for this role.
Key job responsibilities
Design implement and support data warehouse / data lake infrastructure using AWS big data stack Python Redshift Quicksight Glue/lake formation EMR/Spark/Scala Athena etc.
Extract huge volumes of structured and unstructured data from various sources (Relational /Nonrelational/NoSQL database) and message streams and construct complex analyses.
Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting
Perform detailed sourcesystem analysis sourcetotarget data analysis and transformation analysis
Participate in the full development cycle for ETL: design implementation validation documentation and maintenance.
6 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience communicating with users other technical teams and management to collect requirements describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Knowledge of distributed systems as it pertains to data storage and computing
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 $139100/year in our lowest geographic market up to $240500/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
Design implement and support data warehouse / data lake infrastructure using AWS big data stack Python Redshift Quicksight Glue/lake formation EMR/Spark/Scala Athena etc.
Extract huge volumes of structured and unstructured data from various sources (Relational /Nonrelational/NoSQL database) and message streams and construct complex analyses.
Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting
Perform detailed sourcesystem analysis sourcetotarget data analysis and transformation analysis
Participate in the full development cycle for ETL: design implementation validation documentation and maintenance.
6 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience communicating with users other technical teams and management to collect requirements describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Knowledge of distributed systems as it pertains to data storage and computing
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 $139100/year in our lowest geographic market up to $240500/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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