2 months ago
Base Salary
$140k - $179k/yr
Responsibilities
- Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
- Implement data structures using data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies.
- Provide online reporting and analysis using OBIEE and a logical abstraction layer across large multidimensional datasets and multiple sources.
- Gather business and functional requirements and translate them into robust, scalable, operable solutions within the overall data architecture.
- Analyze source data systems and drive best practices in source teams.
- Participate in the full development lifecycle from design and implementation through testing, documentation, delivery, support, and maintenance.
- Produce comprehensive dataset documentation and metadata.
- Evaluate peer data-engineering implementations and decisions regarding new or existing software products and tools.
- Mentor junior data engineers.
Requirements
- Master’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field plus one year of experience in the offered job or a related occupation.
- A bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field plus five years of experience may substitute for the master’s degree and one year of experience.
- At least one year of experience developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle.
Benefits
- The position is located in Chicago, Illinois, and requires 40 hours per week from 8:00 a.m. to 5:00 p.m.
- A sign-on bonus and restricted stock units may be provided in addition to medical, financial, and other benefits, depending on the position offered.
- Amazon is an equal opportunity employer and provides workplace accommodations during the application and hiring process.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.