Sr. Data Engineer
Core
Designing and building scalable data solutions to support fraud detection and risk management for financial institutions and consumers.
Role type
Senior IC data engineer (fraud/risk)
Builds
High-performance data pipelines, scalable data architectures, and operationalized ML models for fraud detection.
Domain
Fintech, payments, fraud detection, risk management
Deliverable
production ML models | infrastructure
Required skills
Python, Java, SQL, PySpark, Cassandra, PostgreSQL, Azure data services, data pipeline orchestration, feature engineering, data governance
Preferred skills
NoSQL databases, supervised/unsupervised learning techniques, data mapping and standardization
Technologies
Cassandra, PostgreSQL, Python, PySpark, Databricks, REST API, Java, Spring, Microsoft Azure
Responsibilities
Build and optimize high-volume data pipelines; design secure data architectures for fraud/risk; manage large-scale datasets with quality controls; partner with data scientists to operationalize ML models; implement cloud-based solutions in Azure; coordinate releases and deployments.
Seniority
Senior, hands-on IC
