Data Engineer III - AMZ9081156

Amazon; Milano; In loco; EUR 133.000 - 181.000; Tempo pieno

Descrizione del lavoro

A leading e-commerce company is seeking a Data Engineer III to design and implement large-scale data structures for business intelligence analytics. The ideal candidate will have experience with ETL processes, SQL, and data modeling. This role serves to mentor junior engineers while ensuring data architecture aligns with business needs. Competitive salary and comprehensive benefits are included.

Servizi

Medical benefits

Financial benefits

Employee equity options

Competenze

• Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related field with 3 years of experience.
• Bachelor's degree in a related field with 7 years of progressive experience is acceptable in lieu of a Master's.
• 1 year of experience in developing large-scale data structures for business intelligence analytics.

Mansioni

• Design and implement large-scale data structures for analytics.
• Analyze and optimize data structures using best practices.
• Mentor junior data engineers.

Conoscenze

SQL

Data modeling

ETL/ELT processes

OLAP technologies

Oracle

Formazione

Master's degree in Computer Science or related field

Bachelor's degree in Computer Science or related field with significant experience

Descrizione del lavoro

Job Information

Job ID: 3010920 | Amazon.com Services LLC

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC

Offered Position: Data Engineer III

Job Location: Arlington, Virginia

Job Number: AMZ9081156

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 online 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 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.

Position 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 developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle.

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

40 hours / week, 8:00am-5:00pm, Salary Range $154,600/year to $209,100/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.