Amazon
Data Engineer, Rewarded Ads
Amazon, Santa Monica, California, United States, 90403
Description
The Rewarded Ads team is building a new and exciting product offering that enable advertisers to offer rewards to consumers when they shop on Amazon. This is an exciting direction in the Advertising world as it creates a win-win for both the advertiser and consumers.
We are seeking a seasoned data engineer to help us complete this vision. It is a great opportunity for someone looking to influence and help shape the technology direction of a young and growing organization. You will help with the delivery of our data solutions that powers the internal dashboard, product insights, external advertiser reports, recommendation engine and more.
An ideal candidate should have deep expertise in the creation, management, and business use of large datasets, across a variety of data platforms. They should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to do the data analysis to answer business questions and improve ads performance.
Rewarded Ads is a growing area within Amazon Ads. We have high potential to identify opportunities for new ad products, experiment, incubate and scale the most successful ideas. Our products change the way advertisers interact with Amazon Advertising. We are just getting started and this is a great opportunity to get on the ground floor of what will be a high impact capability.
Key job responsibilities
Design, implement and support various data solutions such as data lake, ETL pipeline, data warehouse and data integration with the rest of the Amazon Ads system..
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting, and AWS big data technologies.
Work closely with product teams, software developers and Business Intelligence Engineers to explore new data sources and deliver the data.
Basic Qualifications
3+ 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
Preferred Qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Experience working on and delivering end to end projects independently
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.
The Rewarded Ads team is building a new and exciting product offering that enable advertisers to offer rewards to consumers when they shop on Amazon. This is an exciting direction in the Advertising world as it creates a win-win for both the advertiser and consumers.
We are seeking a seasoned data engineer to help us complete this vision. It is a great opportunity for someone looking to influence and help shape the technology direction of a young and growing organization. You will help with the delivery of our data solutions that powers the internal dashboard, product insights, external advertiser reports, recommendation engine and more.
An ideal candidate should have deep expertise in the creation, management, and business use of large datasets, across a variety of data platforms. They should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to do the data analysis to answer business questions and improve ads performance.
Rewarded Ads is a growing area within Amazon Ads. We have high potential to identify opportunities for new ad products, experiment, incubate and scale the most successful ideas. Our products change the way advertisers interact with Amazon Advertising. We are just getting started and this is a great opportunity to get on the ground floor of what will be a high impact capability.
Key job responsibilities
Design, implement and support various data solutions such as data lake, ETL pipeline, data warehouse and data integration with the rest of the Amazon Ads system..
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting, and AWS big data technologies.
Work closely with product teams, software developers and Business Intelligence Engineers to explore new data sources and deliver the data.
Basic Qualifications
3+ 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
Preferred Qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Experience working on and delivering end to end projects independently
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.