Job Title

Are you passionate about developing the next generation of data infrastructure capable of handling complex, missioncritical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our Pricing & Promotions Science, Data and Insights team, where youll have the opportunity to continuously improve the systems that enable Amazons annual worldwide revenue of billions of dollars. Key Job Responsibilities Design, build, and operate highly scalable, faulttolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions Continuously optimize data pipeline performance, reliability, and costefficiency using best practices in CI/CD and infrastructureascode Mentor junior engineers and share your knowledge of data engineering best practices Stay uptodate with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions A Day in the Life Identify key areas of concerns/limitations with current architecture and build next generation frameworks and systems that enable data teams to deliver on future needs Build automated data quality monitoring, audit and reconciliation mechanisms Develop and maintain core infrastructure and services for multiple data engineering teams Improve efficiency of operations in terms of cost, effort and reliability About the Team The Pricing and Promotions Science Data and Insights Org strives to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science and analytics systems. We facilitate making trustworthy datadriven decision making at scale. We look around corners for both longterm and shortterm flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between. Qualifications 4+ years of data engineering experience Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with SQL Experience with data audit and reconciliation strategies. Experience with data pipeline orchestration frameworks, such as Airflow. Experience with streaming data processing technologies. Experience with nonrelational databases / data stores (object storage, document or keyvalue stores, graph databases, columnfamily databases) Experience providing technical leadership and mentoring other engineers for best practices on data engineering Masters degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent 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 for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. The base salary for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, signon 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. Applicants should apply via our internal or external career site. #J-18808-Ljbffr