Description
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
Please see job description and the position requirements above.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
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
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
Please see job description and the position requirements above.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
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
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