Data Engineer, Seller Growth \u0026 Development
Seattle, Washington
Our team is passionate about Sellers who sell on Amazon - we help them grow their businesses, build their story, and serve their customers. How do we do this? Data!
The ideal candidate will have excellent problem solving abilities, and the ability to synthesize data into metrics for use by seller facing software teams and ML engineers/scientists. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business needs.
In the role, you will work closely with scientists, product managers and software engineers to build out infrastructure, data pipelines, and reporting mechanisms for our team and our Brands.
Our Data Engineer duties & responsibilities will include:
- Design and deliver big data architectures for experimental and production consumption between scientists and software engineering
- Develop the end-to-end automation of data pipelines, making datasets readily-consumable by seller facing teams
- Create automated alarming and dashboards to monitor data quality, availability
- Create and manage capacity and performance plans for the infrastructure
- Act as the subject matter expert for the domain data and the metrics that are generated
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA | Tempe, AZ, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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)
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 $105,700/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 ideal candidate will have excellent problem solving abilities, and the ability to synthesize data into metrics for use by seller facing software teams and ML engineers/scientists. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business needs.
In the role, you will work closely with scientists, product managers and software engineers to build out infrastructure, data pipelines, and reporting mechanisms for our team and our Brands.
Our Data Engineer duties & responsibilities will include:
- Design and deliver big data architectures for experimental and production consumption between scientists and software engineering
- Develop the end-to-end automation of data pipelines, making datasets readily-consumable by seller facing teams
- Create automated alarming and dashboards to monitor data quality, availability
- Create and manage capacity and performance plans for the infrastructure
- Act as the subject matter expert for the domain data and the metrics that are generated
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA | Tempe, AZ, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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)
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 $105,700/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.
Created: 2024-05-15
Reference: 2640767
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
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