Data Engineer, Home&Lifestyle Innovation Team
Data Engineer, Home&Lifestyle Innovation Team
Posted on :
10-05-2025
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1 Vacancy
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Job Description
The Home & Lifestyle Innovation Tech (HLIT) team enables Amazon Retail to operate and grow a profitable business. In executing against our mission we prioritize solving foundational opportunities such as unlocking strategic selection reducing product procurement costs increasing procurement process efficiency regional placement and delivering a convenient customer experience. We build technology that empowers our categories automates processes simplifies customer experience and uses AI to improve business outcomes. While we serve the Home and Lifestyle categories we develop our technology to be used across Amazon worldwide treating other teams as customers who can use our investments to further their business goals.
Key job responsibilities
Design and develop the pipelines required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL Python and AWS big data technologies.
Oversee and continually improve production operations including optimizing data delivery redesigning infrastructure for greater scalability code deployments bug fixes and overall release management and coordination.
Establish and maintain best practices for the design development and support of data integration solutions including documentation.
Work closely with Product teams Data Scientists Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
Able to read write and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled code reviewed etc.)
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Bachelors degree
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 nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Design and develop the pipelines required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL Python and AWS big data technologies.
Oversee and continually improve production operations including optimizing data delivery redesigning infrastructure for greater scalability code deployments bug fixes and overall release management and coordination.
Establish and maintain best practices for the design development and support of data integration solutions including documentation.
Work closely with Product teams Data Scientists Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
Able to read write and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled code reviewed etc.)
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Bachelors degree
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 nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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