Amazon
Data Engineer, Supply Chain Science Intelligence Analytics team
Amazon, Santa Monica, California, United States, 90403
Description
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 team
As 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.
Basic Qualifications
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
Preferred Qualifications
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 team
As 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.
Basic Qualifications
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
Preferred Qualifications
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.