Amazon
Sr Data Engineer, Advertising Datalake
Amazon, Seattle, Washington, us, 98127
Description
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
The Advertising datalake team, based in Seattle, is responsible for building an analytics platform that enables business insights to our customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude. We are looking for a highly motivated, top notch engineer to revamp existing systems and build new ones from the ground up. A successful candidate will have demonstrated experience in at least some of the following areas: building distributed high scale systems, building and scaling very large data processing platforms using distributed computing technologies such as Map/Reduce, Spark, transactional systems and data persistence using dynamoDB/RDBMS, algorithm development for efficient scheduling, sampling, queuing, classification, etc.
We are looking for a highly motivated, top notch engineer to revamp existing systems and build new ones from the ground up. A successful candidate will have demonstrated experience in at least some of the following areas: machine learning, model building and algorithm development, building and scaling very large data processing platforms using distributed computing technologies such as Map/Reduce, transactional systems and data persistence using RDBMS, web-crawling, algorithm development for efficient scheduling, sampling, queuing, classification, etc.
sspajobs
Key job responsibilities
Design, implement, and support data warehouse infrastructure using Apache and AWS (Redshift) technologies.
Create ETLs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting
Use business intelligence and visualization software (e.g., Micro Strategy, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Monitor and maintain database security and database software
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management
Work with Product Managers, Business Analysts, and a growing global team to help in analyzing data and derive new insights that drive Amazon's consumer marketing global success.
Manage numerous requests concurrently and strategically, prioritizing when necessary
Basic Qualifications
5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience operating large data warehouses
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. 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, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
The Advertising datalake team, based in Seattle, is responsible for building an analytics platform that enables business insights to our customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude. We are looking for a highly motivated, top notch engineer to revamp existing systems and build new ones from the ground up. A successful candidate will have demonstrated experience in at least some of the following areas: building distributed high scale systems, building and scaling very large data processing platforms using distributed computing technologies such as Map/Reduce, Spark, transactional systems and data persistence using dynamoDB/RDBMS, algorithm development for efficient scheduling, sampling, queuing, classification, etc.
We are looking for a highly motivated, top notch engineer to revamp existing systems and build new ones from the ground up. A successful candidate will have demonstrated experience in at least some of the following areas: machine learning, model building and algorithm development, building and scaling very large data processing platforms using distributed computing technologies such as Map/Reduce, transactional systems and data persistence using RDBMS, web-crawling, algorithm development for efficient scheduling, sampling, queuing, classification, etc.
sspajobs
Key job responsibilities
Design, implement, and support data warehouse infrastructure using Apache and AWS (Redshift) technologies.
Create ETLs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting
Use business intelligence and visualization software (e.g., Micro Strategy, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Monitor and maintain database security and database software
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management
Work with Product Managers, Business Analysts, and a growing global team to help in analyzing data and derive new insights that drive Amazon's consumer marketing global success.
Manage numerous requests concurrently and strategically, prioritizing when necessary
Basic Qualifications
5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience operating large data warehouses
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. 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, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.