|Category||Data Science||Job type||Full Time|
|Country||United States of America|
MULTIPLE POSITIONS AVAILABLE
Entity: Amazon Web Services, Inc.
Position: Data Engineer II
Location: Seattle, WA
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Hadoop/Hive, and AWS technologies. Provide on-line reporting and analysis using business intelligence tools such as Tableau and QuickSight and a logical abstraction layer against large, multidimensional 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. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Statistics, Mathematics or a related field and one year of experience in the job offered, or as a Data Scientist, Database Developer, Technical Data Analyst, or a related occupation. Employer will accept three years of experience in the job offered or as a Data Scientist, Database Developer, Technical Data Analyst, or a related occupation as equivalent to the Bachelor's and one year of experience. Must have one year of experience in the following skill(s): developing and operating large-scale enterprise level data infrastructure for data democratization, business intelligence analytics using each of the following: (1) ETL/ELT processes; (2) data modeling; (3) proficiency in lambda architecture; and (4) SQL or big data processing languages.
Please see job description and position requirements above.