Senior Manager, Data Engineering at Amazon

Senior Manager, Data Engineering Details

May 15, 2019, 3:35 a.m.
Business Intelligence
Seattle, Washington
Big Data in
Are you someone with a big-picture vision and a drive to make that vision a reality? Do you enjoy working on cutting edge solutions for Big Data in a fast-paced team environment? Does the challenge of using Machine Learning to provide high quality recommendations in a matter of milliseconds appeal to you? Then Amazon Devices Journeys, Applications, and Workflow Systems (JAWS) has a role for you. The Amazon Devices team is looking for a self-driven, experienced and passionate data and analytics leader who will work closely with stakeholders to design and build reporting and analytics, including statistical and machine learning models, to answer complex business questions that provide insights to influence customer behavior. The ideal candidate is able to not just hold their team to a high standard of data quality and excellence in the work delivered but also to surprise and delight stakeholders and take the business to the next level by uncovering insights and proposed actions through analytics

· MS + 8 yrs experience or BS + 11 yrs experience · 4+ years of experience leading and/or directing a data and analytics team. · Experience with enterprise class data warehousing from disparate source systems using industry standard data warehouse solutions (e.g. Redshift, Oracle, SQL Server, Hadoop-based systems) · Experience with relevant technologies/tools/processes such as ETL, BI Applications, Big Data, Web Analytics, CRM systems. · Experience using SQL, ETL, and databases in a business environment with large-scale, complex datasets. · Proficient in code-based analysis/modeling using Python,
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