Data Engineer, WW Ops Finance S&A
Core
Design, build, and maintain scalable data infrastructure and ETL pipelines to support customer reporting, analytics, and GenAI models for Amazon Customer Fulfillment business.
Role type
Senior IC data engineer (finance domain)
Builds
Data service platform, ETL pipelines, data-sets, and analytics infrastructure
Domain
Finance / Data Engineering / Cloud Infrastructure
Required skills
Python, SQL, data modeling, warehousing, ETL pipeline development, distributed systems, AWS services (Redshift, Glue, S3, Lambda, EMR, MWAA), code review
Preferred skills
Scala, non-relational databases, large-scale high-throughput data systems, AWS CodeDeploy/CodePipeline/CDK
Technologies
Python, Spark, SQL, AWS (Redshift, Glue, S3, IAM, CloudWatch, CodeDeploy, CodePipeline, CDK, CloudFormation, EMR, MWAA, Lambda), Scala
Responsibilities
Design and implement complex data solutions and ETL pipelines; Develop high-quality data architecture to support customer reporting; Interface with tech teams to extract, transform, and load data ensuring quality; Collaborate with business users and BI Engineers on data architecture projects; Participate in code reviews and team planning; Diagnose and resolve operational issues through root cause analysis
Seniority
Senior, hands-on IC