Data Engineer III, Last Mile Routing, Amazon Last Mile - Routing and Planning - DE
Data Engineer III, Last Mile Routing, Amazon Last Mile - Routing and Planning - DE
Posted on :
22-06-2025
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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 end-to-end 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 cross-functional teams in a fast-paced environment are critical skills for this role. You should mentor the resources on the team and participate in setting the direction for the teams infrastructure growth.
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 /Non-relational/No-SQL 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 source-system analysis source-to-target data analysis and transformation analysis
Participate in the full development cycle for ETL: design implementation validation documentation and maintenance.
Mentor the resources on the team
Develop and implement strategic direction and foundational framework for the team.
Establish long-term goals and build the necessary support systems for team success
- 7 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 mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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.
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 /Non-relational/No-SQL 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 source-system analysis source-to-target data analysis and transformation analysis
Participate in the full development cycle for ETL: design implementation validation documentation and maintenance.
Mentor the resources on the team
Develop and implement strategic direction and foundational framework for the team.
Establish long-term goals and build the necessary support systems for team success
- 7 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 mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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.
Employment Type
Full-Time
Department / Functional Area
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