Business Intelligence Engineer, Kuiper Global Service Compliance

We are seeking an exceptional Business Intelligence Engineer to join the Global Service Compliance (GSC) team supporting Amazon’s Project Kuiper. Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.

We are looking for an enthusiastic Business Intelligence Engineer who is out of this world excited about technology, data security, enjoys being continually challenged, and demonstrates sound judgment even in ambiguous situations.

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


Key job responsibilities
As a business intelligence engineer you will be collaborating with GSC and stakeholder teams to build automated and dynamic reports for external reporting and dashboards to support internal metrics and KPIs.

* Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
* Partner with various teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.).
* Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
* Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.
* Build self-service reporting platforms, establishing automated processes for large scale data analysis.
* Understand and write high quality queries to retrieve and analyze data (ongoing reporting and ad hoc requests).

This position may be based in Bellevue, WA, or Arlington, VA. Some travel, domestic and international, may be required.


About the team
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with large-scale data analytics and data warehousing
- Understanding of overall system architecture, scalability, reliability, and performance in a database environment
- Experience with forecasting and statistical analysis
- Understanding of AWS Glue lake formation/Lambda/Athena/EventBridge.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.