Data Engineer AWS Fintech
Data Engineer AWS Fintech
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
If this describes you consider joining us as a Data Engineer. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
Key job responsibilities
As a data engineer I you will/may:
Design implement and automate deployment of our distributed system for collecting and processing data from multiple upstream sources
Design data schema and operate internal data warehouses and SQL/NoSQL database systems
Own the design development and maintenance of ongoing metrics reports analyses and dashboards to drive key business decisions
Monitor and troubleshoot operational or data issues in the data pipelines
Drive architectural plans and implementation for future data storage reporting and analytic solutions
Work collaboratively with TPMs Product managers and other internal partners to identify opportunities/problems
Provide assistance to the team with troubleshooting researching the root cause and thoroughly resolving defects in the event of a problem
About the team
Daily Revenue Platform is a new team and its mission is to develop Daily GAAP financials. The datasets generated by this team powers other AWS Finance applications Forecasting team Leadership reporting and BI systems. This team will be responsible to drive the AWS Fintech organizations vision forward in terms of proactive insights metrics and drive better business decisions.
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
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)
Bachelors degree
Experience with big data technologies such as: Hadoop Hive Spark EMR
Knowledge of writing and optimizing SQL queries in a business environment with largescale complex datasets
Masters 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.
Employment Type
Full-Time
