Description

Are you ready to drive strategic initiatives that transform how Amazon collaborates with Third-Party (3P) Sellers to enhance their selling experience? The US 3P marketplace presents a tremendous opportunity, serving a massive customer base and market segment that's crucial to Amazon's growth. Our team develops innovative solutions that empower sellers to expand their businesses while offering unique products and services to customers. This presents an exciting chance to reimagine both seller and customer experiences from the ground up.

We seek a skilled data engineer who thrives on handling large-scale data operations and is dedicated to creating seller-focused innovations. In thi

Key job responsibilities

• Work closely with data scientists and business intelligence engineers to create robust data architectures and pipelines.

• Simplify and enhance the accessibility, clarity, and usability of large or complex datasets through the development of advanced BI dashboards and applications.

• Take ownership of the design, creation, and upkeep of metrics, reports, analyses, and dashboards to inform key business decisions.

• Navigate ambiguous environments by evaluating various options using both data-driven insights and business expertise.

• Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3.

A day in the life

Data Engineers focus on managing customer requests, maintaining operational excellence, and enhancing core infrastructure. You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps for essential Devices and Digital metrics.

About the team

As the core metrics team, we are responsible for developing, overseeing, and analyzing key performance indicators for Amazon's US Third-Party Seller business, which generates approximately 70% of Amazon.com's revenue. Through daily in-depth data analysis, we uncover valuable insights that drive business decisions.

Basic Qualifications

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Knowledge of distributed systems as it pertains to data storage and computing

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.