Data Engineer at Amazon

Data Engineer Details

Jan. 18, 2019, 3:43 a.m.
Business Intelligence
Amazon MAKO
Seattle, Washington
Machine Learning and
Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations in less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on Machine Learning and data science, believing every customer should not have the same experience? Amazon has a role or you. As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be an expert in the architecture of DW solutions for the Enterprise using multiple technologies (RDBMS, Columnar, Cloud). You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate

· Degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience · Data modeling and ETL development experience · Data Warehousing Experience with Oracle, Redshift, Teradata, etc. · Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Experience in functional programming languages (Scala, Python, Perl, etc.) · Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
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