Data Engineer II - AMZ10046151

Amazon; Santa Clara (CA); On-site; USD 169,000 - 206,000; Full time

Job summary

Amazon Web Services, Inc. in Santa Clara, CA is seeking a Data Engineer II to design, develop, and operate large-scale data systems for business intelligence analytics. You will use ETL/ELT, SQL, Oracle, and OLAP technologies to deliver scalable data platforms.

You will gather requirements, participate in full development lifecycle, and mentor junior engineers. The position is 40 hours per week, with a salary range of $169,129 to $205,600 per year.

Qualifications

• Master's degree or foreign equivalent in Computer Science, Engineering, IS, Mathematics, or related field with 1 year of related experience; or Bachelor's + 5 years of progressive experience in related occupation.
• Must have 1 year of experience in ETL/ELT, OLAP technologies, data modeling, SQL, and Oracle.

Responsibilities

• Design, develop, implement, test, document and operate large-scale, high-volume data structures for BI analytics.
• Implement data structures using data modeling, ETL/ELT, SQL, Oracle, and OLAP technologies.
• Gather requirements and translate them into robust, scalable data solutions; participate in full SDLC.
• Mentor junior data engineers.

Education

Master's degree in Computer Science or related field

Bachelor's degree + 5 years experience

Tools

SQL

Oracle

ETL/ELT

OLAP

Data modeling

Job description

Description

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON WEB SERVICES, INC.

Offered Position: Data Engineer II

Job Location: Santa Clara, California

Job Number: AMZ10046151

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: $169,129/year to $205,600/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.#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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.