OverviewParagon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers. These business teams using Paragon are our enterprise customers. Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, such as tenant configuration, case storage, security, and data insights and analytic. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We\'re looking for experienced technical leaders.ResponsibilitiesDesign/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasetsDesign and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platformInterface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologiesMust possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.Drive operational excellence strongly within the team and build automation and mechanisms to reduce operationsEnjoy working closely with your peers in a group of very smart and talented engineers.Basic Qualifications1+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience 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 QualificationsExperience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.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 youre applying in isnt listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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