• Manager III, Data Engineering

    Amazon (Seattle, WA)


    Description

    MULTIPLE POSITIONS AVAILABLE

    Employer: AMAZON.COM SERVICES LLC

     

    Offered Position: Manager III, Data Engineering

     

    Job Location: Seattle, Washington

     

    Job Number: AMZ9084866

    Position Responsibilities:

    Lead team to design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science. Implement data ingestion routines, real time and batch, using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation. Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. Hire, manage, and develop team members.

    Position Requirements:

    Master’s degree or foreign equivalent degree in Computer Science, Statistics, Engineering, or a related field and three years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Statistics, Engineering, 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 three years of experience. Must have two years of experience in the following skills: 1) data modeling, data warehousing, and building ETL pipelines; 2) using SQL; 3) hands-on experience in writing complex, highly-optimized SQL queries across large data sets; 4) using Microsoft Office and at least one modern scripting or programming language, such as Python, Perl, Ruby, Scala, or NodeJS; 5) experience in ETL development; 6) experience with massively parallel processing (MPP) databases, data warehouse and data lake; 7) using Tableau, ETL, and AWS services including with Redshift, S3, AWS Glue, EMR, or DynamoDB; 8) using cloud data platforms and big data solutions; 9) managing data pipelines and processing software development; and 10) hiring, managing teams, and coaching performance.

     

    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 $170,000/year to $230,000/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.#0000

    Basic Qualifications

    Position Requirements:

    Master’s degree or foreign equivalent degree in Computer Science, Statistics, Engineering, or a related field and three years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Statistics, Engineering, 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 three years of experience. Must have two years of experience in the following skills: 1) data modeling, data warehousing, and building ETL pipelines; 2) using SQL; 3) hands-on experience in writing complex, highly-optimized SQL queries across large data sets; 4) using Microsoft Office and at least one modern scripting or programming language, such as Python, Perl, Ruby, Scala, or NodeJS; 5) experience in ETL development; 6) experience with massively parallel processing (MPP) databases, data warehouse and data lake; 7) using Tableau, ETL, and AWS services including with Redshift, S3, AWS Glue, EMR, or DynamoDB; 8) using cloud data platforms and big data solutions; 9) managing data pipelines and processing software development; and 10) hiring, managing teams, and coaching performance.#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.