Data Engineer III - AMZ9948586
About The Position
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DEVELOPMENT CENTER U.S., INC., Offered Position: Data Engineer III Job Location: Arlington, Virginia Job Number: AMZ9948586 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, 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.
Requirements
- Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation.
- Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience.
- Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.
Nice To Haves
- Please see job description and the position requirements above.
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, 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
General Merchandise Retailers
Number of Employees
5,001-10,000 employees
