Data Engineer III - AMZ8839674

MULTIPLE POSITIONS AVAILABLE

Company: AMAZON.COM SERVICES LLC

Position Title: Data Engineer III

Location: Cambridge, Massachusetts


Position Responsibilities:

Responsible for the data pipeline, data warehousing, and future-looking/strategic data modeling for the analytics platform's day to day and three-year plan roadmap. Build and optimize logical data model and data pipelines for difficult, big data datasets in the Alexa Spoken Language Understanding (SLU - covering Automatic Speech Recognition, Natural Understanding/Processing, and individual Alexa feature) space, powering customized analytics software powering thousands of users and investigations per month. Be accountable for ongoing data quality, efficiency, testing, and maintenance. Work independently within our team and across other teams to source, optimize, and warehouse the right data for our customers. Influence large-size data solutions/access to dataset(s) in team architecture, advising product managers, program managers, and other engineers. Optimize the consumption of very large data sources we require to generate unique insights. Influence your team’s technical and business strategy by making insightful contributions to team priorities and overall data approach. Take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team bottlenecks the innovations of other teams. Make data solutions simpler.

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 three years of experience in the following skills: 1) experience with data modeling, data warehousing, and building ETL pipelines; 2) experience in SQL; 3) hands-on experience in writing complex, highly-optimized SQL queries across large data sets; 4) experience in scripting languages (including Python, Perl, or Ruby) and Excel; 5) experience in ETL development; 6) experience with massively parallel processing (MPP) databases (data warehouse and data lake); 7) experience with Tableau, ETL, and AWS services (including with Redshift, S3, AWS Glue, EMR, or DynamoDB); and 8) experience with cloud data platforms and big data solutions. Partial telecommuting permitted; employees will be required to report to office multiple days per week.

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. #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 three years of experience in the following skills: 1) experience with data modeling, data warehousing, and building ETL pipelines; 2) experience in SQL; 3) hands-on experience in writing complex, highly-optimized SQL queries across large data sets; 4) experience in scripting languages (including Python, Perl, or Ruby) and Excel; 5) experience in ETL development; 6) experience with massively parallel processing (MPP) databases (data warehouse and data lake); 7) experience with Tableau, ETL, and AWS services (including with Redshift, S3, AWS Glue, EMR, or DynamoDB); and 8) experience with cloud data platforms and big data solutions. Partial telecommuting permitted; employees will be required to report to office multiple days per week. #0000

Preferred Qualifications

Please see job description and the position requirements above.

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