Data Engineer, Amazon FinTech

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 financial systems for project Kuiper. 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 self-service 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.
• 3 years of data engineering experience
• Experience with data modeling warehousing and building ETL pipelines
• Experience in IBM Cognos TM1 / Planning Analytics work including system configuration model building and developing reports or dashboards with TM1
• Experience in writing complex highly-optimized SQL queries across large datasets
• Knowledge of distributed systems as it pertains to data storage and computing
• 6 years of finance technology forecast & budgeting or other finance-focused competency experience
• Substantive experience building data engineering solutions in a large enterprise
• Experience with IBM Planning Analytics / TM1 both scripting processes and writing rules.
• Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
• Experience designing and developing IT or technical training materials and content
• Experience in project management including resource planning managing schedules reporting project status and prioritizing tasks

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.

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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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 Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Department / Functional Area : Data Engineering

Experience : years

Vacancy : 1

Yearly Salary Salary : 118900 - 205600