Big Data Engineer II

The AWS Sales Marketing Global Services Ops (SMGS Ops) Revenue team publishes mission-critical Sales Revenue data product including Unified Estimated Revenue GAAP Sales Revenue Quota Sales Retirement and Planning Revenue that power strategic decision-making across AWS Finance Accounting Sales Operations Segmentation Planning & Policy (S&P) Global Sales Compensation Field Experience and Data & Analytics teams.
Our platform processes billions of metered usage and billing transactions daily integrating data from 20 sources including to deliver accurate timely revenue insights that drive quota setting sales goal management forecasting compensation and business intelligence. We leverage BigData technologies including Elastic Map Reduce (EMR) Spark Redshift and Glue and other AWS services to handle massive data volumes at scale.
The Opportunity
Were seeking a passionate Data Engineer to architect and extend our processing framework for next-generation revenue data this high-impact role youll:
Build scalable data pipelines that seamlessly handle exponential data growth and enable rapid development of new revenue products
Lead AI-driven automation initiatives to transform revenue processing from data acquisition and validation to publishing and insights generation into intelligent systematic workflows
Architect solutions that enhance data quality reduce processing latency and deliver actionable insights to stakeholders across the organization
This role places you at the forefront of innovation combining big data engineering with AI/ML to revolutionize how AWS processes and reports revenue at global scale.

Key job responsibilities
Evolve the Revenue technology stack to support AWSs rapid expansion while maintaining compliance with security policies architectural standards and operational best practices
Design and build end-to-end data pipelines that transform raw data from diverse upstream sources into actionable business insights powering quota management forecasting and compensation decisions
Develop frameworks tools and AI-driven solutions that eliminate manual processes reduce operational overhead and accelerate time-to-insight for Revenue customers
Create and maintain dimensional data models and data structures that enable self-service analytics and support evolving reporting requirements across Finance Sales Operations and Analytics teams
Mentor a team of Data Engineers to deliver cross-functional solutions foster technical growth and establish engineering excellence standards
Architect and optimize Revenue data infrastructure. Ensure enterprise-grade security cost efficiency and scalability while processing billions of daily transactions across 20 data sources
Collaborate with product managers stakeholders and customers to translate business requirements into technical solutions

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

- 3 years of data engineering experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Bachelors degree or above in Computer Science Computer Engineering Data Science Electrical Engineering or majors relating to these fields or 3 years of professional software development experience
- Experience in at least one object-oriented programming language (e.g. JavaScript Python C#)

- 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 with big data technologies such as: Hadoop Hive Spark EMR

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.