Data Engineer II ISF Central Tech Team
Data Engineer II ISF Central Tech Team
Posted on :
02-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
02-05-2025
Job Description
The International Stores Finance Central Tech team is looking for a passionate and solution oriented Data Engineer to design and implement the complex ETL pipelines and other BI solutions to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on daytoday decision making at
As a Data Engineer you should excel in the design creation management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the AWS platform to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on daytoday decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business. You should be able to create data pipelines to pull data from different sources types and automate current manual process.
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 Finance customers DEs and BIEs 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
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.
As a Data Engineer you should excel in the design creation management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the AWS platform to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on daytoday decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business. You should be able to create data pipelines to pull data from different sources types and automate current manual process.
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 Finance customers DEs and BIEs 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
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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