Data Engineer - Amazon FinTech
Data Engineer - Amazon FinTech
Posted on :
11-05-2025
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1 Vacancy
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Job Description
Are you a highly skilled data engineer and project leader Do you think big enjoy complexity and building solutions that scale Are you curious to know what you could achieve in a company that pushes the boundaries of modern technology If you answered yes and you have a background in FinTech youll love this role and Amazons data obsessed culture.
Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for wide variety of Amazons new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.
As a Data Engineer in this team you will build and enhance the businesses global financial systems org wide. The primary product used is TM1 but unlike other FinTech teams you will have the freedom to use Amazons full arsenal of AWS technology to build the innovative solutions required to deliver at the scale a trillion dollar company demands. You will manage all aspects from requirements gathering technical design development deployment and integration to solve budgeting planning performance management and reporting challenges.
Key job responsibilities
Design and implement next generation financial solutions assisted by almost unlimited access to AWS resources including EC2 RDS Redshift Stepfunctions EMR Lambda and 3rd party software TM1.
Build and deliver high quality data pipelines capable of scaling from running for a single month of data during month end close to 150 and more months when doing restatements.
Continually improve ongoing reporting and analysis processes and infrastructure automating or simplifying selfservice capabilities for customers.
Dive deep to resolve problems at their root looking for failure patterns and suggesting and implementing fixes or enhancements.
Prepare runbooks methods of procedures tutorials training videos on best practices for global delivery.
Solve unique challenges presented by the massive data volume and diverse data sets working for one of the largest companies in the world.
Substantive experience building data engineering solutions in a large enterprise
Basic knowledge of TM1/Planning Analytics or other financial planning and reporting systems of scale.
Extensive experience writing SQL queries and stored procedures.
Knowledge of distributed systems as it pertains to data storage and computing
FinTech experience exhibiting knowledge of financial reporting budgeting and forecasting functions and processes.
Bachelors degree.
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions.
Experience with programming languages such as python java shell scripts.
Experience with IBM Planning Analytics/TM1 both scripting processes and writing rules.
Experience with design & delivery of formal training curriculum and programs.
Project management scoping reporting and scheduling experience.
austechjob
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
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.
Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for wide variety of Amazons new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.
As a Data Engineer in this team you will build and enhance the businesses global financial systems org wide. The primary product used is TM1 but unlike other FinTech teams you will have the freedom to use Amazons full arsenal of AWS technology to build the innovative solutions required to deliver at the scale a trillion dollar company demands. You will manage all aspects from requirements gathering technical design development deployment and integration to solve budgeting planning performance management and reporting challenges.
Key job responsibilities
Design and implement next generation financial solutions assisted by almost unlimited access to AWS resources including EC2 RDS Redshift Stepfunctions EMR Lambda and 3rd party software TM1.
Build and deliver high quality data pipelines capable of scaling from running for a single month of data during month end close to 150 and more months when doing restatements.
Continually improve ongoing reporting and analysis processes and infrastructure automating or simplifying selfservice capabilities for customers.
Dive deep to resolve problems at their root looking for failure patterns and suggesting and implementing fixes or enhancements.
Prepare runbooks methods of procedures tutorials training videos on best practices for global delivery.
Solve unique challenges presented by the massive data volume and diverse data sets working for one of the largest companies in the world.
Substantive experience building data engineering solutions in a large enterprise
Basic knowledge of TM1/Planning Analytics or other financial planning and reporting systems of scale.
Extensive experience writing SQL queries and stored procedures.
Knowledge of distributed systems as it pertains to data storage and computing
FinTech experience exhibiting knowledge of financial reporting budgeting and forecasting functions and processes.
Bachelors degree.
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions.
Experience with programming languages such as python java shell scripts.
Experience with IBM Planning Analytics/TM1 both scripting processes and writing rules.
Experience with design & delivery of formal training curriculum and programs.
Project management scoping reporting and scheduling experience.
austechjob
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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