Amazon
Data Engineer, WW Pricing - Data & Analytics
Found: Today
Description
WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll be developing GenAI based solutions to improve the operational and reporting efficiency.
Basic Qualifications
- 3+ years of data engineering experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle 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)
