2 months ago
Base Salary
$160k - $188k/yr
Responsibilities
- Design, develop, implement, test, document, and operate large-scale, high-volume data structures for business intelligence analytics.
- Implement data structures using ETL/ELT processes, SQL, Oracle, OLAP technologies, and data modeling best practices.
- 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 data solutions.
- Analyze source data systems and drive data best practices in source teams.
- Participate in the end-to-end development lifecycle, including design, implementation, testing, documentation, delivery, support, and maintenance.
- Produce dataset documentation and metadata.
- Evaluate peer data-engineer dataset implementations and make decisions about new or existing software products and tools.
- Mentor junior data engineers.
- Travel domestically and internationally up to 25% as required.
Requirements
- Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field plus three years of relevant experience, or a bachelor's degree or foreign equivalent in one of those fields plus seven years of relevant 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.
- Ability to work the stated full-time schedule of 40 hours per week, 8:00 a.m. to 5:00 p.m.
- Domestic and international travel of up to 25% may be required.
Benefits
- Full-time schedule of 40 hours per week, 8:00 a.m. to 5:00 p.m.
- Medical, financial, and other employee benefits are available.
- Equity, sign-on payments, and other compensation may be provided depending on the position offered.
- Equal opportunity and workplace accommodation support are available.
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.