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
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL pipeline development, SQL query optimization, Python, distributed systems, data warehousing
Preferred skills
AWS Glue, AWS Redshift, AWS EMR, AWS Lambda, non-relational databases, large-scale high-throughput systems
Technologies
Python, Spark, SQL, AWS S3, AWS Glue, AWS Redshift, AWS MWAA, AWS EMR, AWS Lambda, AWS CodeDeploy, AWS CodePipeline, AWS CDK, AWS CloudFormation
Responsibilities
Design and implement complex data solutions and ETL pipelines; Develop high-quality data architecture to support customer reporting; Interface with technology teams to extract, transform, and load data; Collaborate with business users and BI Engineers to deliver data architecture projects; Participate in code reviews and improve reporting processes; Diagnose and resolve operational issues through root cause analysis.
Seniority
Senior, hands-on IC