Data Engineer I, SCOT OSS - Sourcing Execution & Performance

Description Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technology (SCOT) organization is for you. Watch this video to learn more about our organization,

SCOT:

http://bit.ly/amazon-scot We are the Optimal Sourcing Systems team (OSS) within SCOT and are looking for a Data Engineer to join us! OSS designs and builds systems that measure and manage Amazon's supplier capabilities, identify and react to supply disruptions, and prioritizes inbound freight for our global network. OSS software is used by every country Amazon services, and is a critical link to ensuring Amazon offers the products our customers want, at the lowest possible cost. If you want to work on data that directly impacts how millions of products move through Amazon's global supply chain and you're excited about defining the future of AI-powered data engineering, we'd love to hear from you. Key job responsibilities

• Build and optimize data pipelines that process large-scale supply chain datasets, enabling real-time visibility into inventory movement and vendor performance
• Design and maintain scalable data warehousing solutions that serve as the foundation for business-critical reporting and analytics
• Harness the power of Generative AI to accelerate data source discovery, streamline pipeline development, and build intelligent agents that help Business Intelligence Engineers and Scientists uncover emerging opportunities
• Create self-service data capabilities and AI-integrated platforms that empower stakeholders to answer key business questions independently
• Partner closely with business and technical stakeholders to understand requirements and translate them into robust, well-architected data solutions A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children.

Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications
• 1+ years of data engineering experience
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue

• 101,300.00
• 160,000.

00 USD annually