22 days ago
Dallas, TX, USAMid Level
H1B sponsor
Base Salary
$147k - $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 logical abstraction layers across large multidimensional datasets and multiple sources.
- Gather business and functional requirements and translate them into robust, scalable, operable solutions.
- 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 make decisions about 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 job offered or a related occupation.
- A bachelor’s degree or foreign equivalent in the listed fields 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.
- Preferred qualifications state that all applicants must meet the listed basic requirements.
Benefits
- Full-time schedule of 40 hours per week, Monday through Friday, 8:00 a.m. to 5:00 p.m.
- Position located in Dallas, Texas.
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.