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Description

Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly skilled Senior Data Engineer to help develop/build data solutions. As a technical leader, you will own the evolution of our data platform, establishing best practices, exploring and experimenting with new technologies and driving efficiency across multiple teams. Equally important, you will nurture your passion for mentoring the next generation of data engineers and producing a culture of continuous learning and innovation. You will dive into the challenge of building an ML infrastructure and establish ML feature store collaborating with fellow software engineers. You will work to establish foundational building blocks that will seamlessly integrate with cutting-edge GenAI solutions, ensuring our partners have access to self-serve, actionable insights.

Key job responsibilities

- Designing, implementing, and maintaining a cutting-edge, cloud-based data infrastructure to support our large and complex data sets, ensuring high performance, availability, and integrity

- Developing and optimizing robust ETL pipelines with comprehensive monitoring, alarming, and data quality controls to seamlessly integrate diverse data sources

- Driving the adoption of emerging technologies, such as generative AI, and advocating for the latest data management best practices to elevate our capabilities

- Building and scaling an analytical data infrastructure that provides self-service access to data and computing power for our business stakeholders

- Collaborating cross-functionally to develop and deploy advanced analytics algorithms that uncover valuable insights from our rich data sets, and translating them into impactful business solutions

- Manage AWS resources, including exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency

- Mentoring junior data engineers and fostering a culture of continuous learning and innovation

About the team

The Pricing and Promotions Sciences strive to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science systems, and the facilitation of trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between

Basic Qualifications

- 6+ years of data engineering, database engineering, business intelligence or business analytics experience

- Experience with SQL

- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

- Experience mentoring team members on best practices

- Experience operating large data warehouses

- Strong Experience with data modeling, warehousing and building ETL pipelines

- Bachelors Degree

Preferred Qualifications

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

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.