Sr. Data Engineer, Global Planning, Project Kuiper

Amazon; Redmond (WA); On-site; USD 139,000 - 241,000; Full time

Job summary

A leading company is seeking a founding Data Engineer for Project Kuiper's Global Planning team. This role involves building enterprise-grade infrastructure and ETL pipelines using advanced AWS technologies to facilitate high-quality data management for satellite broadband initiatives. Candidates should have substantial experience in data engineering and relevant technologies, with a strong focus on efficiency and scalability.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling and ETL pipelines.
• Experience transforming GeoSpatial data.

Responsibilities

• Develop data products and ETL pipelines using AWS technologies.
• Implement data governance best practices.
• Provide technical guidance to data consumers.

Skills

Data Modeling

ETL Pipelines

SQL

Python

Data Governance

Tools

AWS

Glue

S3

Redshift

EMR

Hadoop

Hive

Spark

Job description

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 looking for the founding Data Engineer in Kuiper's Global Planning team to build enterprise-grade data infrastructure and data assets that will support Kuiper's Demand Science & Forecasting models and capacity planning & simulation systems. You will be responsible to design and implement Data Architecture, using latest AWS services and to develop production level ETL pipelines from external and internal sources / APIs. This role will be instrumental in helping Kuiper execute on its business plans globally and requires high level of operational excellence with a relentless focus on delivering results.

Key job responsibilities
In this role, you will:
- Develop Kuiper data products, infrastructure and ETL pipelines to ingest, parse and transform Geospatial datasets from external & internal APIs using AWS big data technologies (Glue, S3, Redshift, MWAA, EMR, Data Zone, Lambda, etc.)
- Work alongside Data Scientists, Applied Scientists, Software Engineers and Simulation Engineers to develop appropriate data assets for statistical modeling, system integration and capacity simulations
- Improve existing solutions and come up with next generation Kuiper's Data Architecture to improve scale, quality and performance
- Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations.
- Develop and maintain scripts to automate processes to generate structured datasets for forecasting POR and system inputs, with focus on efficiency and scalability
- Build data dictionary, catalog and governance plan and manage and audit all of the registered data via internal mechanisms
- Provide technical guidance and support to data consumers to leverage Global Planning data assets

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.

About the team
Kuiper Global Planning team designs and builds systems that support forecasting, management and optimization of Kuiper's demand, bandwidth capacity and physical inventory across customer segments and channels, worldwide.
- 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 mentoring team members on best practices- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Hands-on experience with transforming GeoSpatial Data

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 $139,100/year in our lowest geographic market up to $240,500/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.