Data Engineer, WW Ops Finance - S&A
Core
Design, build, and maintain scalable data infrastructure, ETL pipelines, and platform services to empower global Finance teams with unified data discovery and analytics.
Role type
Senior IC data engineer (cloud & data platform)
Builds
Enterprise-scale data discovery platform, metadata management frameworks, and self-service analytics capabilities
Domain
Finance operations, cloud data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, AWS services (S3, Glue, Redshift, Lambda, EMR, MWAA), data modeling, ETL/ELT processes, OLAP technologies, Oracle, data warehousing
Preferred skills
Apache Spark, Elastic Map Reduce, non-relational databases (object storage, document, key-value, graph, column-family), AWS Redshift, AWS Kinesis, AWS FireHose, IAM roles
Technologies
AWS (DataZone, OpenSearch, API Gateway, Lambda, EMR, MWAA, S3, Glue, Redshift, Kinesis, FireHose), Oracle, Apache Spark
Responsibilities
Design and optimize data models and catalog systems for fast data discovery; Build microservices and APIs for search, ingestion, and integrations; Implement data quality frameworks and monitoring; Automate data onboarding workflows; Collaborate with cross-functional teams to translate business requirements; Participate in system design, code reviews, and incident response
Seniority
Senior, hands-on IC