Job Information
Amazon Data Engineer II - AMZ8441043 in Nashville, Tennessee
Description
MULTIPLE POSITIONS AVAILABLE
Company: AMAZON.COM SERVICES LLC
Position Title: Data Engineer II
Location: Nashville, Tennessee
Position Responsibilities:
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 and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional 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.
40 hours / week, 8:00am-5:00pm, Salary Range $125,500/year to $169,800/year.
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 degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience as a Data Engineer or a related occupation. Must have three years 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; and SQL; • Experience with Python or Java; • Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, and testing; and • Experience with large databases, BI applications, data quality, and performance tuning. Partial telecommuting permitted; employees will be required to report to office multiple days per week. #0000
Preferred Qualifications
Please see job description and the position requirements above.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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