Amazon
Mid-Level Data Engineer
Amazon - Seattle, Washington, us, 98127
Work at Amazon
Overview
- View job
Overview
Job ID:
3029948 | Amazon.com Services LLC - A57 MULTIPLE POSITIONS AVAILABLE Position Responsibilities: Design, develop, implement, test, document, and operate large-scale, high-volume data structures for business intelligence analytics. Implement data structures using industry best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis utilizing OBIEE business intelligence tools against extensive multi-dimensional datasets from various sources. Gather business and functional requirements, translating them into scalable and operable solutions that align with the overall data architecture. Analyze source data systems and advocate for best practices within source teams. Engage in the full development lifecycle, including design, implementation, testing, documentation, support, and maintenance. Produce comprehensive and usable dataset documentation and metadata. Evaluate dataset implementations proposed by peer data engineers. Assess the use of new or existing software products and tools. Mentor junior data engineers to foster growth and development. Working Hours:
40 hours / week, 8:00am-5:00pm. Salary Range: $188,885/year to $205,600/year. Amazon offers a total compensation package that may include equity, sign-on payments, and a range of benefits including medical and financial options. For more information about employee benefits, please visit the Amazon careers page. Amazon is an Equal Opportunity-Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Basic Qualifications: Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with one year of relevant experience, or a Bachelor's degree with five years of progressive experience. One year of experience in developing and operating large-scale data structures for business intelligence analytics utilizing the following: ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle. Preferred Qualifications: Please refer to the position requirements above for preferred qualifications. Amazon’s inclusive culture empowers all employees to deliver the best results for customers, and we welcome applications from individuals with diverse backgrounds.
3029948 | Amazon.com Services LLC - A57 MULTIPLE POSITIONS AVAILABLE Position Responsibilities: Design, develop, implement, test, document, and operate large-scale, high-volume data structures for business intelligence analytics. Implement data structures using industry best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis utilizing OBIEE business intelligence tools against extensive multi-dimensional datasets from various sources. Gather business and functional requirements, translating them into scalable and operable solutions that align with the overall data architecture. Analyze source data systems and advocate for best practices within source teams. Engage in the full development lifecycle, including design, implementation, testing, documentation, support, and maintenance. Produce comprehensive and usable dataset documentation and metadata. Evaluate dataset implementations proposed by peer data engineers. Assess the use of new or existing software products and tools. Mentor junior data engineers to foster growth and development. Working Hours:
40 hours / week, 8:00am-5:00pm. Salary Range: $188,885/year to $205,600/year. Amazon offers a total compensation package that may include equity, sign-on payments, and a range of benefits including medical and financial options. For more information about employee benefits, please visit the Amazon careers page. Amazon is an Equal Opportunity-Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Basic Qualifications: Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with one year of relevant experience, or a Bachelor's degree with five years of progressive experience. One year of experience in developing and operating large-scale data structures for business intelligence analytics utilizing the following: ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle. Preferred Qualifications: Please refer to the position requirements above for preferred qualifications. Amazon’s inclusive culture empowers all employees to deliver the best results for customers, and we welcome applications from individuals with diverse backgrounds.