
location_onBellevue Presbyterian Church, 1717, Bellevue Way Northeast, Bellevue, King County, Washington, 98004, United States
AWS provides companies of all sizes with an infrastructure web services platform in the cloud. Within AWS, our Catalog solutions span Glue Data Catalog, Lake Formation, and DataZone. We offer customers a comprehensive inventory of an organization's assets, enrich this view through metadata, and provide data discovery, governance, trust, and query routing functionality.
Catalogs are at the forefront of modern Analytics, acting as the bridge between the consumption layer and data services. They effectively enable Engines to query information and allow humans and AI to find semantic meaning in data. Our suite of Catalog services make it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.
Joining the AWS Catalog organization gives you the opportunity to work on a disruptive product that's still in its early stages, solve challenging problems that will revolutionize database computing in the cloud, and build a product that will leverage the scale of resources available in the cloud. We are looking for a Software Development Manager with expertise and passion for building large-scale data-intensive systems and distributed systems to work on the next generation big data systems that will transform data management on AWS and across the industry.
Work model: On-site
Bellevue Presbyterian Church, 1717, Bellevue Way Northeast, Bellevue, King County, Washington, 98004, United States
Bellevue, Washington
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Skills: Aws, Glue Data Catalog, Lake Formation, Datazone, Data Analytics, Big Data, Java, C#, Service-Oriented Architecture.
Education: Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
Experience with large scale data analytics, big data platforms, highly available/fault tolerant systems, replicated data storage, and operating complex services running in the cloud.