Big Data Engineer Global Finance Technology GFT
Big Data Engineer Global Finance Technology GFT
Posted on :
13-04-2025
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1 Vacancy
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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 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 the business to take action.
Key job responsibilities
Design and build scalable big data pipelines to ingest transform and publish massive amounts of data at scale
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
Mentor junior engineers with respect to development and design standards
Lead projects from initial design through to full implementation
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 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!
4 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)
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.
Key job responsibilities
Design and build scalable big data pipelines to ingest transform and publish massive amounts of data at scale
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
Mentor junior engineers with respect to development and design standards
Lead projects from initial design through to full implementation
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 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!
4 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)
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.
Required Experience:
Exec
Employment Type
Full-Time
Department / Functional Area
Key Skills
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