Data Engineer AWS Fintech
Data Engineer AWS Fintech
Posted on :
08-04-2025
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1 Vacancy
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Job Description
Do you want to build a cuttingedge highly scalable data platform using Amazon Web Services (AWS) technologies How about building this platform to support the fast growth of AWS itself Is problem solving through teamwork in your DNA Do you like the idea of seeing how your work impacts the bigger picture Answer yes to any of these and youll fit right in here at Amazon Web Services.
AWS Fintech is seeking a Data Engineer (DE) with a passion for developing data architecture and tools to support selfservice data analytics. You will play a critical role supporting AWS Finance BI and building solutions to support data needs in one of the worlds largest and most complex data environments. In this role you will have ownership of endtoend development of data engineering solutions to complex questions and youll play an integral role in strategic decisionmaking.
The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and the ability to work in a fastpaced environment. You will build and manage analytical resources on AWS and support contentrelated projects. You should have deep expertise in the design creation management and business use of extremely large datasets. Above all you should be passionate about working with huge data sets and eager to learn new solutions to answer business questions and drive change.
Key job responsibilities
In this role you will have the opportunity to display and develop your skills in the following areas:
Design implement and support an analytical platform providing ad hoc access to large datasets and computing power
Managing AWS resources including EC2 RDS Redshift Lambda and etc.
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers.
A day in the life
Working closely with BI engineers software developers product managers and other business stakeholders to solve unique business problems.
Leverage new cloud architecture and data engineering patterns to ingest transform and store data.
Build and deliver high quality data solutions to support analysts engineers and data scientists.
Bachelors degree
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell Scala)
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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 $91200/year in our lowest geographic market up to $185000/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.
AWS Fintech is seeking a Data Engineer (DE) with a passion for developing data architecture and tools to support selfservice data analytics. You will play a critical role supporting AWS Finance BI and building solutions to support data needs in one of the worlds largest and most complex data environments. In this role you will have ownership of endtoend development of data engineering solutions to complex questions and youll play an integral role in strategic decisionmaking.
The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and the ability to work in a fastpaced environment. You will build and manage analytical resources on AWS and support contentrelated projects. You should have deep expertise in the design creation management and business use of extremely large datasets. Above all you should be passionate about working with huge data sets and eager to learn new solutions to answer business questions and drive change.
Key job responsibilities
In this role you will have the opportunity to display and develop your skills in the following areas:
Design implement and support an analytical platform providing ad hoc access to large datasets and computing power
Managing AWS resources including EC2 RDS Redshift Lambda and etc.
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers.
A day in the life
Working closely with BI engineers software developers product managers and other business stakeholders to solve unique business problems.
Leverage new cloud architecture and data engineering patterns to ingest transform and store data.
Build and deliver high quality data solutions to support analysts engineers and data scientists.
Bachelors degree
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell Scala)
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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 $91200/year in our lowest geographic market up to $185000/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
Key Skills
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