Data Engineer II - AMZ6112

Sunnyvale, California, USA

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Amazon.com

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MULTIPLE POSITIONS AVAILABLE

Company: Amazon.com Services LLC, an Amazon.com Company

Position Title: Data Engineer II

Location: Sunnyvale, California


Position Responsibilities:


Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Incorporate software engineering best practices, data management fundamentals, data modeling, ETL/ELT processes, and data storage principles to implement data structures. 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. Use query languages including SQL, HiveQL, SPARQL, and/or Oracle. Build data solutions using OLAP technologies, schema definition languages, and scripting languages. Create physical and logical data models and optimize data pipelines that are stable and performant. Use data persistence solutions, data integration techniques, database optimization, and join algorithms to write secure, stable, testable, maintainable code with minimal defects. Optimize operational data storage and processing of semi structured data streams to build self-service business intelligence infrastructure and reusable datasets. 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 and metadata documentation. Participate in code and design reviews. Ensure data models have proper access control, data integrity, auditability and testing protocols. Mentor junior data engineers.

Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. #0000

Basic Qualifications


Position Requirements:

Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Must have one year of experience in the following skill(s): developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL/ELT processes; OLAP technologies; data modeling; SQL; and Oracle.

Preferred Qualifications

Please see the job description and position requirements above.

Tags: Business Intelligence Computer Science Data management Data pipelines ELT Engineering ETL HiveQL Mathematics OLAP Oracle Pipelines Research SQL Testing

Region: North America
Country: United States
Job stats:  0  0  0
Category: Engineering Jobs

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