Data Engineer, Kuiper Commercial Revenue Operations

Amazon; Bellevue (WA); On-site; USD 118,000 - 206,000; Full time

Job summary

Amazon is looking for a Data Engineer for Project Kuiper, aimed at increasing global broadband access through satellite technology. In this role, you will develop data products and analytics strategies to support revenue operations and improve operational efficiency. Ideal candidates will have extensive experience in data engineering, working with AWS and strong programming skills, specifically in SQL and Python.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing, and SQL.
• Familiarity with AWS and big data technologies is preferred.

Responsibilities

• Develop data products and infrastructure leveraging AWS.
• Design and implement data pipelines with appropriate security.
• Communicate effectively with senior management on business insights.

Skills

Data Modeling

ETL Pipelines

SQL

Python

AWS

Education

Bachelor's Degree in Computer Science or a related field

Tools

Hadoop

Spark

Job description

Data Engineer, Kuiper Commercial Revenue Operations

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.

We are seeking a data leader to define the data infrastructure and analytics strategy for Kuiper’s commercial revenue operations (CRO). You will deliver (i) foundational infrastructure and integrate into the central data mesh to connect business tools with eCommerce systems; (ii) offer data as a service by hosting data lakes, pipelines, and analytics workbenches; (iii) instrument business metrics and insights for business reviews, operational planning, and run-time operational dashboards for revenue growth and cost reductions; and (iv) provide foresight into customer churn, up-sell / cross-sell recommendations, sales forecasting, and optimizing capacity management for maximizing contribution margin using AI/ML.


Key job responsibilities
* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, Glue) and internal Amazon tools (Data net, Cradle, QuickSight etc.)
* Build BI solutions and define the BizOps team's BI strategy. Deliver the BizOps Data Lake architectural design and enhancements.
* Provides robust BI solutions for complex problems, that are extensible and scalable.
* Communicate effectively with senior management audiences (e.g., narratives, inputs into monthly/quarterly business reviews).
* Refine data strategies that cut across functional teams and make technical trade-off decisions for long term/short-term needs.
* Understand business requirements and provide customer, marketing, sales, operations, and planning metrics.
* Design data pipelines and implement appropriate security, permissions, and access control models.
* Support BizOps leaders and teams in ingesting data, analysis, dashboards, business review metrics, and other analytical insights as required.
* Capture and analyze process insights to drive strategic shifts in product offering, service plans and pricing, that impact the business decisions across functional teams.
* Drives best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business
* Participate in hiring activities and mentor junior team members


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.

BASIC QUALIFICATIONS

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with Cloud technologies (AWS, Azure, GCP)

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

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 $118,900/year in our lowest geographic market up to $205,600/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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.