Role at a glance
- Salary
- $139.8K – $178.8K/yr
- Location
- Chicago, Illinois, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- one year of experience in the job offered, or as a Operations Research Analyst, Database Developer, or a related occupation
- Education
- Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
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Role Summary
Data Engineer II opening at Amazon.com Services LLC in Chicago, IL, with multiple positions available, for 40 hours per week from 8:00am to 5:00pm. The role designs, builds, and operates large-scale data structures for business intelligence analytics across SQL, Oracle, and OLAP technologies.
What You'll Do
- Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business...
- Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large,...
- Gather business and functional requirements and translate them into robust, scalable, operable solutions
- Analyze source data systems and drive best practices in source teams
- Produce comprehensive, usable dataset documentation and metadata
- Mentor junior data engineers
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- Master'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 a Operations Research Analyst, Database Developer, or a...
- The pay range for this position in Chicago, IL is $139818 - $178800 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part...
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Preferred
- All applicants must meet all the above listed requirements.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Position: Data Engineer II - AMZ27957.1
Location: Chicago, IL
Multiple Positions Available:
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, Oracle, 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 $139818 - $178800)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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Basic Qualifications
Master'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 a Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. 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.The pay range for this position in Chicago, IL is $139818 - $178800 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Illinois Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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Preferred Qualifications
All applicants must meet all the above listed requirements.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.