Data Engineer, WW Ops Finance S&A
Core
Design, build, and maintain complex data solutions and ETL pipelines to support customer reporting needs and internal Finance customers within a global data warehouse environment.
Role type
Senior IC Data Engineer (Finance Data Platform)
Builds
Scalable data infrastructure, ETL pipelines, and data-sets for reporting, analysis, and GenAI models.
Domain
Finance / Data Engineering / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Spark, AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda), Data modeling, Warehousing, ETL pipeline development, Distributed systems knowledge, Code review
Preferred skills
Scala, NodeJS, Non-relational databases, Large-scale high-throughput data systems, AWS Kinesis, FireHose, IAM roles
Technologies
Python, Spark, SQL, AWS (S3, Glue, Redshift, MWAA, EMR, Lambda, CodeDeploy, CodePipeline, CDK, CloudFormation), Scala, NodeJS
Responsibilities
Design and implement complex data architecture and scalable pipelines; Interface with technology teams to extract, transform, and load data from various sources; Collaborate with business users and BI Engineers to deliver data architecture projects; Participate in code reviews and design discussions; Diagnose and resolve operational issues through root cause analysis.
Seniority
Senior, hands-on IC