Big Data Engineer Global Finance Technology GFT
Big Data Engineer Global Finance Technology GFT
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Are you an experienced Big Data Engineer passionate about building scalable and enterpriselevel data engineering solutions This opportunity is a great fit for an experienced Big Data Engineer who enjoys working on largescale computing and transforming large datasets leveraging AWS distributed systems. In addition to technical expertise you will invest time to understand the needs of the business the data behind it and how to transform information into technical solutions that allow Amazons Finance leadership to take action.
Key job responsibilities
Collaborate with finance and business stakeholders to understand requirements and translate them into technical specifications.
Design and develop scalable big data pipelines to ingest transform and publish large volumes of data efficiently.
Troubleshoot system and data quality issues
Identify bottlenecks with current architecture and propose efficient and long term solutions
Provide operational support by participating in teams on call rotations
Contribute to system documentation and on call runbooks
Mentor junior engineers and drive the successful implementation of projects.
A day in the life
As a data engineering team that supports the central finance team within Amazon our primary customer will always be our CFO. Hence a day to day activity of a Sr. big data engineer within this team will mostly revolve around solving data engineering problems for transforming our ever growing financial data. You work with other financial teams to understand their business problems and deliver scalable technical solutions.
About the team
GFT Data Services team is the data engineering team within Corp FP&A. On our team we enjoy a unique vantage point into everything happening within Amazon. As part of that this role would be part of a team that is responsible for Companys enterprisewide financial planning & analytics environment. The data flowing through our platform directly contributes to decisionmaking by our CFO and all levels of finance leadership. If youre passionate about building tools that enhance productivity improve financial accuracy reduce waste and improve worklife harmony for a large and rapidly growing finance user base come join us!
3 years of data engineering experience
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience with data modeling warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with SQL
Bachelors degree
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.
Key job responsibilities
Collaborate with finance and business stakeholders to understand requirements and translate them into technical specifications.
Design and develop scalable big data pipelines to ingest transform and publish large volumes of data efficiently.
Troubleshoot system and data quality issues
Identify bottlenecks with current architecture and propose efficient and long term solutions
Provide operational support by participating in teams on call rotations
Contribute to system documentation and on call runbooks
Mentor junior engineers and drive the successful implementation of projects.
A day in the life
As a data engineering team that supports the central finance team within Amazon our primary customer will always be our CFO. Hence a day to day activity of a Sr. big data engineer within this team will mostly revolve around solving data engineering problems for transforming our ever growing financial data. You work with other financial teams to understand their business problems and deliver scalable technical solutions.
About the team
GFT Data Services team is the data engineering team within Corp FP&A. On our team we enjoy a unique vantage point into everything happening within Amazon. As part of that this role would be part of a team that is responsible for Companys enterprisewide financial planning & analytics environment. The data flowing through our platform directly contributes to decisionmaking by our CFO and all levels of finance leadership. If youre passionate about building tools that enhance productivity improve financial accuracy reduce waste and improve worklife harmony for a large and rapidly growing finance user base come join us!
3 years of data engineering experience
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience with data modeling warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with SQL
Bachelors degree
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:
Exec
Employment Type
Full-Time
Department / Functional Area
Key Skills
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