Manager III, Data Engineering AMZ9084866
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
MULTIPLE POSITIONS AVAILABLE
Employer: 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:
Masters 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 Bachelors 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 Masters 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.
is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week 8:00am-5:00pm Salary Range $170000/year to $230000/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:
Requirements:
Masters 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 Bachelors 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 Masters 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employer: 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:
Masters 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 Bachelors 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 Masters 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.
is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week 8:00am-5:00pm Salary Range $170000/year to $230000/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:
Requirements:
Masters 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 Bachelors 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 Masters 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
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