Amazon
Data Engineer, Supply Chain Science Intelligence Analytics team
Amazon, New York, New York, us, 10261
Data Engineer, Supply Chain Science Intelligence Analytics team
Amazon is looking for a Data Engineer II (DE II) to join the North America Supply Chain (NASC)'s Science, Intelligence, & Analytics (NASC-SIA) team.The successful candidate will be a self-starter, comfortable with ambiguity, and able to create and maintain automated processes efficiently. They will set the vision, define the roadmap, and work alongside stakeholders across organizations to deliver results, focusing heavily on support of scientific modeling. They know and love working with various AWS Cloud and Data Technologies, understand the principles and techniques of distributed computing, and are enthusiastic about working with data in diverse forms, types, volumes, velocities, etc. This role will have an immediate and lasting impact on both internal and external customers, and provides a unique opportunity to impact Amazon's Supply Chain business at scale for those willing to roll up their sleeves and dive deep to achieve results.Key job responsibilities- Implement & maintain an AWS Cloud Infrastructure to securely store, process, and deliver NASC planning data.- Build and support a modern data architecture that integrates a wide range of available AWS data technologies.- Work with business leaders, Business Intelligence Engineers, and Scientists to ideate business friendly software solutions.- Develop functional databases, applications, and servers to support modeling using a variety of AWS and machine learning related services.- Build and manage large scale data processing pipelines that efficiently and safely process petabyte-scale data.About the teamAs part of North America Supply Chain Science Intelligence Analytics team (NASC-SIA), NASC-SIA Data Engineers are responsible for building and maintaining the critical data infrastructure, data management platform, and various planning tools that support NASC's planning and operational needs.Minimum Requirements- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- 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 with supporting machine learning and modeling suites such as AWS Sagemaker, or general support of scientific modeling.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr
Amazon is looking for a Data Engineer II (DE II) to join the North America Supply Chain (NASC)'s Science, Intelligence, & Analytics (NASC-SIA) team.The successful candidate will be a self-starter, comfortable with ambiguity, and able to create and maintain automated processes efficiently. They will set the vision, define the roadmap, and work alongside stakeholders across organizations to deliver results, focusing heavily on support of scientific modeling. They know and love working with various AWS Cloud and Data Technologies, understand the principles and techniques of distributed computing, and are enthusiastic about working with data in diverse forms, types, volumes, velocities, etc. This role will have an immediate and lasting impact on both internal and external customers, and provides a unique opportunity to impact Amazon's Supply Chain business at scale for those willing to roll up their sleeves and dive deep to achieve results.Key job responsibilities- Implement & maintain an AWS Cloud Infrastructure to securely store, process, and deliver NASC planning data.- Build and support a modern data architecture that integrates a wide range of available AWS data technologies.- Work with business leaders, Business Intelligence Engineers, and Scientists to ideate business friendly software solutions.- Develop functional databases, applications, and servers to support modeling using a variety of AWS and machine learning related services.- Build and manage large scale data processing pipelines that efficiently and safely process petabyte-scale data.About the teamAs part of North America Supply Chain Science Intelligence Analytics team (NASC-SIA), NASC-SIA Data Engineers are responsible for building and maintaining the critical data infrastructure, data management platform, and various planning tools that support NASC's planning and operational needs.Minimum Requirements- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- 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 with supporting machine learning and modeling suites such as AWS Sagemaker, or general support of scientific modeling.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr