Data Engineer I
Core
Architecting and developing data solutions to support Risk area operations and transform data into reliable, scalable inputs.
Role type
Data Engineer I
Builds
ETL/ELT pipelines delivering analytical tables for consumption and regulatory risk reports.
Domain
Financial services / Risk management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, PySpark, R, ETL/ELT pipeline development, business context translation, data quality monitoring, technical documentation
Preferred skills
AWS Big Data services (EMR, Glue, S3), Git version control, CI/CD practices, Kubernetes
Technologies
SQL, Python, PySpark, R, AWS EMR, AWS Glue, AWS S3, Git, Kubernetes
Responsibilities
Develop and optimize ETL/ELT pipelines from raw data ingestion to analytical table delivery; Originate and report Credit Risk documents to the Central Bank; Translate business requirements into technical solutions; Implement monitoring, correct inconsistencies, and create technical documentation for data quality and governance.
Seniority
Individual Contributor, Entry Level
