Data Engineer II - AMZ10414442

Amazon

Dallas (TX)

On-site

USD 139,000 - 179,000

Full time

14 days+
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Job summary

AMAZON.COM SERVICES LLC in Dallas, TX is seeking a Data Engineer II to design and operate large-scale data structures for business intelligence analytics. You will implement data architectures using ETL/ELT processes, SQL, Oracle, and OLAP technologies to support online reporting and multi-source datasets.

You will gather business requirements, translate them into robust data solutions, and mentor junior engineers while contributing to the full development lifecycle and the documentation of

Qualifications

  • Master's degree or equivalent in CS, engineering, IS, or math with relevant work experience.
  • Strong background in BI data structures, data modeling, and analytics.
  • Experience with large-scale data processing and data warehouse concepts.

Responsibilities

  • Design, develop, implement, test, document, and operate large-scale BI data structures.
  • Implement data structures using ETL/ELT, SQL, Oracle, and OLAP technologies.
  • Provide online reporting and analysis using OBIEE and data abstractions.
  • Gather requirements and translate them into scalable, operable data solutions.
  • Mentor junior data engineers and participate in full development lifecycle.
  • Produce dataset documentation and metadata; evaluate datasets and tools.

Skills

Data modeling
ETL/ELT processes
SQL
Oracle
OLAP
OBIEE
Mentoring

Education

Master's degree in CS/Engineering/IS/Math
Bachelor's degree with 5+ years experience

Tools

OBIEE BI tools

Job description

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 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.

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.

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.

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