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Amazon is looking for a Data Engineer to support its logistics network. The role involves developing data pipelines, managing data infrastructures, and collaborating with internal teams to enhance reporting and data processes. This position requires strong analytical skills and experience with varied data technologies.
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Description
Amazon’s 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.
Description
Amazon’s 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 large-scale 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.
Key job responsibilities
Own the design, development, and maintenance of last mile data sets
Manipulate/mine data from database tables (MySQL, SQL server, Oracle, Data Warehouse, FC log files)
Conduct deep dive investigations into issues related to incorrect and missing data
Identify and adopt best practices in developing data pipelines and tables: data integrity, test design, build, validation, and documentation.
Continually improve ongoing reporting and data processes in AMZL
Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects.
Identify ways to automate analysis through smarter software systems.
This is an individual contributor role that will partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
Basic Qualifications
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