Analytics Data Engineer, Infra-Finance Business intelligence & Transformations
Analytics Data Engineer, Infra-Finance Business intelligence & Transformations
Posted on :
09-05-2025
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1 Vacancy
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Job Description
Are you passionate about building data products that power strategic insights Do you enjoy thinking endtoendfrom raw data to analyticsready pipelines If youre excited by the challenge of designing scalable data infrastructure that enables decisionmaking at scale wed love to talk to you.
We are a data and analytics engineering team embedded in the Finance organization supporting AWS Infrastructure Services & Supply Chain Finance (AIS SCF). We own a broad portfolio of valuable datasets and are investing in modernizing our data infrastructure to enable deeper analytics better selfservice and stronger business impact. Our vision is to build a highquality data foundation that accelerates insight generation and enables longterm product innovation.
We are looking for an Analyticsfocused Data Engineer who is as passionate about clean scalable data systems as they are about understanding the business context behind the numbers. In this role youll partner closely with data engineers BIEs and product managers as well as finance and business stakeholders. Youll work across data platforms transformation frameworks orchestration tools data modeling and visualization systemsto build solutions that deliver trusted data at scale.
The ideal candidate combines technical strength with business curiosity: someone who enjoys exploring systems and processes independently understands how data reflects business performance and wants to shape how data informs strategy. You should be comfortable working in ambiguity learning new technologies and communicating clearly with both technical and nontechnical audiences. If you want to make an impact by building data products that inform decisions and drive innovation this is the role for you.
Key job responsibilities
Design build and maintain scalable reliable and reusable data pipelines and infrastructure that support analytics reporting and strategic decisionmaking.
Develop data models and prepare datasets that are intuitive welldocumented and aligned with both immediate business needs and longterm analytical goals.
Partner with Business Intelligence Engineers product managers and finance stakeholders to translate ambiguous business questions into clear data solutions that inform strategy.
Explore source systems data flows and business processes to uncover opportunities ensure data accuracy and completeness and drive improvements in data quality and usability.
Take endtoend responsibility for the datasets you ownensuring they are welldocumented meet user needs and continuously evolve as business requirements change.
Enable selfservice analytics by delivering highquality trusted datasets and promoting best practices in data access and usage.
Continuously identify opportunities to improve data flow efficiency reduce technical debt and simplify data architecture.
Stay current with evolving data technologies and evaluate new tools and frameworks to improve our data platforms scalability and performance.
Continuously look for ways to improve our data tools practices and pipelines to better support insight generation and strategic decisionmaking.
About the team
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Strong analytical skills with the ability to translate business requirements into technical data solutions.
Excellent communication skills with the ability to collaborate across technical and business teams.
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)
Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
3 years of reparation of data for direct use in visualization tools like Tableau experience
Strong business acumen with a focus on how data supports decisionmaking and strategic initiatives.
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.
We are a data and analytics engineering team embedded in the Finance organization supporting AWS Infrastructure Services & Supply Chain Finance (AIS SCF). We own a broad portfolio of valuable datasets and are investing in modernizing our data infrastructure to enable deeper analytics better selfservice and stronger business impact. Our vision is to build a highquality data foundation that accelerates insight generation and enables longterm product innovation.
We are looking for an Analyticsfocused Data Engineer who is as passionate about clean scalable data systems as they are about understanding the business context behind the numbers. In this role youll partner closely with data engineers BIEs and product managers as well as finance and business stakeholders. Youll work across data platforms transformation frameworks orchestration tools data modeling and visualization systemsto build solutions that deliver trusted data at scale.
The ideal candidate combines technical strength with business curiosity: someone who enjoys exploring systems and processes independently understands how data reflects business performance and wants to shape how data informs strategy. You should be comfortable working in ambiguity learning new technologies and communicating clearly with both technical and nontechnical audiences. If you want to make an impact by building data products that inform decisions and drive innovation this is the role for you.
Key job responsibilities
Design build and maintain scalable reliable and reusable data pipelines and infrastructure that support analytics reporting and strategic decisionmaking.
Develop data models and prepare datasets that are intuitive welldocumented and aligned with both immediate business needs and longterm analytical goals.
Partner with Business Intelligence Engineers product managers and finance stakeholders to translate ambiguous business questions into clear data solutions that inform strategy.
Explore source systems data flows and business processes to uncover opportunities ensure data accuracy and completeness and drive improvements in data quality and usability.
Take endtoend responsibility for the datasets you ownensuring they are welldocumented meet user needs and continuously evolve as business requirements change.
Enable selfservice analytics by delivering highquality trusted datasets and promoting best practices in data access and usage.
Continuously identify opportunities to improve data flow efficiency reduce technical debt and simplify data architecture.
Stay current with evolving data technologies and evaluate new tools and frameworks to improve our data platforms scalability and performance.
Continuously look for ways to improve our data tools practices and pipelines to better support insight generation and strategic decisionmaking.
About the team
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Strong analytical skills with the ability to translate business requirements into technical data solutions.
Excellent communication skills with the ability to collaborate across technical and business teams.
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)
Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
3 years of reparation of data for direct use in visualization tools like Tableau experience
Strong business acumen with a focus on how data supports decisionmaking and strategic initiatives.
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
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