Data Engineer GMAC FPA
Data Engineer GMAC FPA
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Amazons Global Media and Entertainment (GME) organization encompasses Prime Video Amazon Music Twitch Audible and Amazon Games businesses. The GME Finance team is establishing a Fintech team to build and operate systems that provide both financial reporting and operational analytic capabilities to GME Finance teams. We are seeking an experienced Data Engineer to drive the teams data strategy and vision. The data engineer will be responsible for design and build of the data infrastructure for automated and scalable platforms to support the reporting and forecasting requirements of GME finance teams. The data engineer will also lead and execute projects that build scalable data and visualization frameworks from multiple operational and financial datasets. The GME Finance team currently has a multiyear roadmap that aim to deliver automated reporting solutions accelerate predictive forecasting and interactive analytic tools for our finance analysts.
This role requires an individual with excellent data modeling data architecture design analytic visualization and software development skills. A successful candidate will have the flexibility to execute on business intelligence projects while considering optimal and efficient data architecture. The candidate must have the ability to quickly build internal contacts and work across multiple finance technology product and business teams to drive the overall strategy. This person will have the ability to Think Big about opportunities and challenges facing the business and the ability to influence the data and BI strategy through effective verbal and written communication logical reasoning and the presentation of alternatives.
Key job responsibilities
Architect and develop end to end scalable data applications and data pipelines
Design and build data reporting solutions across different visualization platforms (e.g. Quicksight)
Establish scalable efficient automated processes for reporting dashboards data analyses and model development
Ability to query program and perform analysis on large datasets using SQL languages and Python
Build data infrastructure and manage other AWS resources including EC2 RDS Redshift EMR etc.
Collaborate with other teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Participate in data strategy and road map exercises data warehouse design and implementation
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
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 in at least one modern scripting or programming language such as Python Java Scala or NodeJS
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.
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.
This role requires an individual with excellent data modeling data architecture design analytic visualization and software development skills. A successful candidate will have the flexibility to execute on business intelligence projects while considering optimal and efficient data architecture. The candidate must have the ability to quickly build internal contacts and work across multiple finance technology product and business teams to drive the overall strategy. This person will have the ability to Think Big about opportunities and challenges facing the business and the ability to influence the data and BI strategy through effective verbal and written communication logical reasoning and the presentation of alternatives.
Key job responsibilities
Architect and develop end to end scalable data applications and data pipelines
Design and build data reporting solutions across different visualization platforms (e.g. Quicksight)
Establish scalable efficient automated processes for reporting dashboards data analyses and model development
Ability to query program and perform analysis on large datasets using SQL languages and Python
Build data infrastructure and manage other AWS resources including EC2 RDS Redshift EMR etc.
Collaborate with other teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Participate in data strategy and road map exercises data warehouse design and implementation
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
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 in at least one modern scripting or programming language such as Python Java Scala or NodeJS
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.
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.
Required Experience:
Director
Employment Type
Full-Time
Department / Functional Area
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