Amazon Last Mile - Routing and Planning DE
Amazon Last Mile - Routing and Planning DE
Posted on :
19-06-2025
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1 Vacancy
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Job Description
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.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 4 years of SQL experience
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
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.
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.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- 4 years of SQL experience
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
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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