Data Engineer II - AMZ10414442

Socket.dev; Dallas (TX); On-site; USD 139,000 - 179,000; Full time

Job summary

AMAZON.COM SERVICES LLC in Dallas, Texas, seeks a Data Engineer II to design, develop, and operate large-scale data structures for business intelligence analytics. You will implement data structures using data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies, providing online reporting and analysis across multi-source datasets.

The role involves gathering requirements, translating them into scalable solutions, and guiding end-to-end data lifecycle, from design to maintenance,

Qualifications

• Master’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related field and one year of experience, OR Bachelor’s degree with five years of progressive post-baccalaureate experience.
• Experience in developing and operating large-scale data structures for business intelligence analytics using ETL/ELT, OLAP, data modeling, SQL, and Oracle.

Responsibilities

• Design, develop, implement, test, document, and operate large-scale data structures for BI analytics.
• Implement data structures using data modeling, ETL/ELT, SQL, Oracle, and OLAP technologies.
• Provide online reporting and analysis using OBIEE and a multi-source data architecture.
• Gather requirements and translate them into robust, scalable solutions.
• Mentor junior data engineers.

Skills

ETL/ELT

OLAP

Data modeling

SQL

Oracle

Education

Master's degree or related field

Bachelor's degree + 5+ years experience

Job description

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC

Offered Position: Data Engineer II

Job Location: Dallas, Texas

Job Number: AMZ10414442

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.

40 hours / week, 8:00am-5:00pm, Salary Range: $139,352/year to $178,800/year.

Amazon total compensation

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits.

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

#0000 Basic Qualifications:Position Requirements:

Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year 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 five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year 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.

#0000 Preferred Qualifications:Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.