Data Engineer
Core
Building and optimizing the Data Lake infrastructure and ETL pipelines to power analytics and data science workloads.
Role type
Senior Individual Contributor Data Engineer
Builds
Scalable, high-performance data lake foundation and production-grade data systems
Domain
Fintech / Consumer Lending / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
AWS ecosystem (ECS Fargate, Lambda, Aurora, Athena, Glue, Iceberg), Python, Spark, SQL, Change Data Capture (CDC) pipelines, RDS management, data governance
Preferred skills
SOLID principles, end-to-end system ownership, cross-functional collaboration
Technologies
AWS, ECS Fargate, AWS Lambda, Aurora, Athena, DMS, Glue, Iceberg, Python, Spark, SQL, Amazon Managed Prometheus, incident.io, GitLab
Responsibilities
Own and evolve the Data Lake infrastructure and ETL pipelines; Migrate production workloads (model calibration, analytics, reporting) into the Data Lake; Partner with Data Science to enable scalable data usage; Redesign data structures to improve query performance and freshness; Optimize infrastructure to reduce AWS costs; Build robust production-grade data systems
Seniority
Senior, hands-on IC
