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Amazon

Big Data BI Engineer Amazon
Seattle, WA

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About Amazon

Job Description

AWS was named as the leader in the Infrastructure as a Service (IaaS) Magic Quadrant report for the 8th consecutive year in 2018. The Magic Quadrant for Cloud Infrastructure as a Service, Worldwide; Gartner placed AWS in the "Leaders" quadrant and positioned AWS as having both the furthest completeness of vision and the highest ability to execute. From start-ups to multi-national corporations to governments, more than 1 million active customers trust AWS every month as their cloud platform. Innovation is in our DNA. Our approach to product development and delivery is fundamentally different than other IT vendors, which has allowed us to ensure that our customers have the broadest, deepest, and most secure platform to build transformational applications and services since 2006. Additionally, Amazon.com has built a reputation for excellence with recent examples being named one of the most admired company in the US, one of the most innovative, and #1 in Customer Service. We are looking for a Senior Business and Data Analytics Professional to deliver innovative solutions to complex technical problems in a customer centric manner.

The AWS Support team is both a self-standing P&L and a critical operational function with the ability to drive Free Cash Flow and a world-class customer experience. AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the portfolio of products and features provided by Amazon Web Services. Customers include very large Enterprises (e.g. Dow Jones, NASDAQ, and Nokia); Public Sector companies (e.g. NASA JPL) as well as fast growing businesses and internet companies (e.g. Shazam). The AWS Support organization is global with 17 locations around the world. As a member of the AWS Support team, you will be at the forefront of Cloud technologies with interactions with customers as well as internal product teams across the full breadth of AWS services. You will be surrounded by people who are passionate about cloud computing, and believe that world class support is critical to AWS success.

AWS Support Biz Ops team is looking for a Big Data BI Engineer to play a key role in building next generation industry leading data platform. Are you passionate about Big Data and highly scalable data platforms? Do you enjoy building end to end Analytics solutions to help drive business decisions? And if you have experience in building and maintaining highly scalable data warehouses and data pipelines with high transaction volumes then we need you!!!

The full stack Big Data BI Engineer will design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics and customer intelligence. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and Big data tools. Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Produce comprehensive, usable dataset documentation and metadata. Provides input and recommendations on technical issues to product and engineering teams.

This is a highly visible position that will interact at all levels of the AWS business.

Become part of this unique opportunity to make history defining the evolution of cloud computing.

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

About Amazon

Amazon is a company operating a marketplace for consumers, sellers, and content creators.

Headquarters
Size
876800 employees
Amazon

410 Terry Ave N

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