Data Engineer II, GMAC FP&A
Core
Design and build scalable data infrastructure, pipelines, and visualization frameworks to support financial reporting, forecasting, and operational analytics for Amazon's Global Media and Entertainment Finance teams.
Role type
Senior Data Engineer (Financial Services)
Builds
Automated reporting solutions, predictive forecasting models, and interactive analytic tools
Domain
Fintech / Financial Services
Deliverable
production ML models
Required skills
Data modeling, data architecture design, ETL pipeline development, SQL, Python, AWS infrastructure management, data visualization
Preferred skills
Machine learning implementation (boosted regression trees, random forests, neural networks), non-relational databases, AWS big data technologies (Redshift, S3, Glue, EMR, Kinesis)
Responsibilities
Architect end-to-end scalable data applications and pipelines; Design and build data reporting solutions across visualization platforms; Establish automated processes for reporting, dashboards, and ML model development; Query and analyze large datasets; Build and manage AWS resources (EC2, RDS, Redshift, EMR); Collaborate on data strategy and road map exercises
Seniority
Mid-Senior, hands-on IC