Data Engineer, WW Ops Finance S&A
Core
Design, build, and maintain scalable data infrastructure and ETL pipelines to support global Operations Finance customers and internal reporting needs.
Role type
Senior Data Engineer (Finance Data Platform)
Builds
Scalable data pipelines, data warehouse solutions, and analytics infrastructure for Finance customers.
Domain
Finance / Data Engineering / Cloud Infrastructure
Required skills
Data modeling, ETL pipeline development, SQL query optimization, Python, distributed systems, AWS services (Redshift, Glue, S3, Lambda, EMR, MWAA), data governance
Preferred skills
Scala, non-relational databases, large-scale high-throughput system design, AI-driven workflow integration (via careerplan.io/jobs/10458880-data-engineer-ww-ops-finance-sa-at-amazon)
Technologies
Python, Spark, SQL, AWS (Redshift, Glue, S3, IAM, CloudWatch, CodeDeploy, CodePipeline, CDK, CloudFormation), Scala
Responsibilities
Design and implement complex data solutions and ETL pipelines; develop high-quality data architecture for customer reporting; interface with teams to extract, transform, and load data ensuring quality; collaborate on data architecture projects; participate in code reviews and process improvements; diagnose and resolve operational issues.
Seniority
Senior, hands-on IC