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)
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