Data Engineer I, AIM Biz Ops AI, AIM Biz Ops AI

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.
- 1+ years of data engineering experience
- 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)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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