DESCRIPTION

Our team is passionate about Sellers on Amazon - we help them grow their businesses and serve their customers. How do we do this? Data! Help us better serve Sellers so they can run their businesses more effectively.
We’re seeking an innovative Data Engineer to join our team to transform how Amazon’s NA Seller Success Business leverages data for strategic decision-making. From Day 1, you’ll own critical data infrastructure that powers insights for 900+ stakeholders. This role offers the autonomy to architect solutions, make technical decisions, and drive significant impact on Amazon’s seller ecosystem through data-driven innovations.
Strategic Impact:
You’ll establish and own key data frameworks that enable business insights across our NA Seller marketplace, driving standardization and reliability in how we deliver critical analytics to our stakeholder community. You’ll be at the forefront of building data solutions that directly impact the success of our global seller community and business stakeholders.
In the role, you will work closely with scientists, product managers and BIEs to build out infrastructure, data pipelines, and reporting mechanisms for our team.
Key job responsibilities

Our Data Engineer duties & responsibilities will include:

• Design, build and maintain data & analytics infrastructure for NASBP, including review of tech stack and data landscape
• Drive adoption of data best practices across multiple teams
• Manage AWS resources (EC2, EMR, S3, Glue, Redshift)
• Design and build ETL pipelines, own OE initiatives, cluster migrations and dashboard development
• Define and maintain data governance protocols that balance speed with quality
• Explore and implement latest AWS technologies for enhanced capabilities
• Support BIEs in adopting best practices for ETLs, pipelines, testing, and documentation
• Work with stakeholders and business leaders to translate business needs into scalable data solutions
• Create scalable, future-proof solutions for our growing analytics needs

BASIC QUALIFICATIONS

• 5+ years of data engineering experience
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

PREFERRED QUALIFICATIONS

• 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)
  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

• Design, build and maintain data & analytics infrastructure for NASBP, including review of tech stack and data landscape
• Drive adoption of data best practices across multiple teams
• Manage AWS resources (EC2, EMR, S3, Glue, Redshift)
• Design and build ETL pipelines, own OE initiatives, cluster migrations and dashboard development
• Define and maintain data governance protocols that balance speed with quality
• Explore and implement latest AWS technologies for enhanced capabilities
• Support BIEs in adopting best practices for ETLs, pipelines, testing, and documentation
• Work with stakeholders and business leaders to translate business needs into scalable data solutions
• Create scalable, future-proof solutions for our growing analytics need