Amazon—Data Engineer I, RoW AIM TECH

Job description

Description: Supply Chain Optimization Technologies (SCOT) org is looking for Data Engineer to join the Automated Inventory Management Team. As a part of the program you will have the opportunity to work with complex algorithms, Distributed Computing Technology, Big-Data computing space to build highly scalable services handling thousands of requests per second that manage inventory plans for millions of items on Amazon.com. The objective of this program is to build and extend required SCOT systems to emerging markets. We are looking for a Data Engineer with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale. Key job responsibilities Design, develop, test, troubleshoot, debug, deploy, maintain, document and deliver large-scale, highly distributed, real-time and management systems that are core to effectively managing the supply chain business. Use Java, Scala, object-oriented (OO) design patterns, NoSQL databases, and data modeling techniques. Design PB scale big-data processing solutions leveraging latest AWS solutions. Gather and analyze business and functional requirements, and translate business requirements into technical design specifications. o Serve as a key technical resource in the full development cycle. Produce comprehensive, usable software documentation. Recommend changes in development, maintenance and system standards. Work with Senior and Principal Engineers, Researchers, and Data Engineers across multiple teams to design software solutions for optimizing supply chain management Work in an agile development environment, where you are always working on the most important stuff. Requirements: - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with one or more scripting language (e.g., Python, KornShell) - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project 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.