
location_onBellevue Presbyterian Church, 1717, Bellevue Way Northeast, Bellevue, King County, Washington, 98004, United States
Amazon Web Services (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 makes it easy to set up a secure data lake in days—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 is still in its early stages. You will solve challenging problems that will revolutionize database computing in the cloud, building a product that leverages the scale of resources available in the cloud. This is a chance to work for a company that is a recognized leader in the cloud computing space and be involved in the fast-growing big data space.
We are looking for developers with expertise and passion for building large-scale data-intensive systems and distributed systems. In particular, we are looking for developers who want to work on the next generation of big data systems that will transform data management on AWS and across the industry. This role is designed for those who thrive in a fast-growing team and are eager to define a challenging technical culture.
AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating—that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
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 amazon.jobs for more information.
Work model: On-site
Bellevue Presbyterian Church, 1717, Bellevue Way Northeast, Bellevue, King County, Washington, 98004, United States
Bellevue, Washington
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.
Skills: Aws, Glue Data Catalog, Lake Formation, Datazone, Data Analytics, Big Data, C#, Java, Perl.
Education: Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; Master's degree in computer science or equivalent.