Data Engineer (Banking)
Core
Build and maintain robust data pipelines for complex banking projects, including AI components, web scraping, and product analytics.
Role type
Senior Data Engineer (Banking)
Builds
Data pipelines, ETL solutions, and production ML/DL services for AI applications.
Domain
Banking / Big Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python (pandas, numpy, scikitlearn, pySpark), SQL/NoSQL, Apache Spark, Apache Kafka, Docker, Kubernetes, OpenShift, Airflow, Jenkins, Shell scripting
Preferred skills
Cloud deployment (AWS/Azure/GCP), web scraping, statistical analysis tools
Responsibilities
Ingest data from static and real-time sources; define optimized schemas for scalable solutions; perform ETL on large datasets for AI; industrialize and deploy ML/DL solutions; resolve escalated data quality and availability issues.
Seniority
Senior, hands-on IC
