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Manager, Big Data

Manager, Big Data

Job ID 
486373
Location 
US-WA-Seattle
Posted Date 
1/19/2017
Company 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 
..

Job Description


Looking for a career at a company that seeks to be Earth’s most customer-centric company? Interested in leveraging technology to disrupt the B2B landscape? Eager to contribute to building massive scale for a business that is growing exponentially? If so, this is the right role for you.

Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable our business customers to find, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. These business customers include individual professionals, small businesses to large institutions (and everything in between). The needs of these business customers are different from those of the traditional Amazon customer, so we are reinventing everything from how we display our selection, price our products, and provide the right customer experience.

What makes Amazon’s approach to these products peculiar is that we will relentlessly apply technology – even when others tell us we will not be able to – to scale our solutions and innovate on behalf of our customers. We are looking for a passionate leader to drive the definition and the delivery of these solutions for Amazon’s business customers. We believe that we are in a unique position to leverage Amazon’s strengths in wide selection, low prices and world-class convenience to provide exceptional value and differentiation due to our deep understanding and insight into our customer base, coupled with our data-grounded analytic and customer-focused approach to building products.

Amazon Business team is looking for an Engineering leader to help manage our ever growing information needs and support analysis of increasingly complex business questions. As a leader , you would be responsible to help build out the data management platform that will form the nucleus of the Analytics, BI and Machine Learning initiatives for Amazon Business. You will be responsible for designing and implementing solutions that involve data interfaces with both internal and external systems, and administering the platform software. You are expected to build efficient, flexible, extensible, and scalable ETL design and mappings.

You will be a seasoned people manager with a strong penchant to hire, develop and build a highly performing team.
You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.






Basic Qualifications

  • 10+ years experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.

  • 4+ years in a people management role

  • Experience in relational database concepts with a solid knowledge of Oracle, SQL and PL/SQL

  • Experience in non-relational and unstructured data such as NoSQL, Big Data, Hadoop etc.

  • Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modeling experience is highly desired

  • Experience in one of the modern reporting tools such as Tableau.

  • Experience performing capacity planning at both table level as well as database and file storage level to ensure smooth data growth

  • Experience performing various performance tuning activities at the both database level as well as ETL

  • Experience managing and growing highly performing engineering teams

Preferred Qualifications

  • Experience partnering with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.
  • Understanding of agile software development cycle
  • Ability to work independently with minimum supervision
  • Familiarity with AWS technologies preferred