Senior Data Engineer
Core
Build and enhance historization capabilities, batch pipelines, data quality frameworks, and observability tooling for a Flink-based streaming platform to support real-time fraud prevention, model training, and rule evaluation.
Role type
Senior Data Engineer (Fraud Prevention)
Builds
Production data pipelines, point-in-time-correct datasets, and observability tooling for fraud signals
Domain
Financial services / Fraud prevention / Real-time data streaming
Deliverable
production ML models
Required skills
Python, Apache Flink, Airflow, dbt, BigQuery, GCP, AWS, event time processing, state management, checkpointing, late-arriving data handling, data quality validation, anomaly detection, data lineage, pipeline monitoring, alerting
Preferred skills
Feature preparation, model training workflows, backtesting, inference workflows, batch-stream integration
Technologies
Apache Flink, Airflow, dbt, BigQuery, GCP, AWS
Responsibilities
Build accurate, point-in-time-correct datasets for model training and backtesting; Design and build scalable batch pipelines complementing the streaming platform; Develop robust controls for data completeness, freshness, and business-logic accuracy; Build observability capabilities to surface pipeline failures and data drift; Partner with Data Scientists to translate fraud-prevention use cases into scalable data products
Seniority
Senior, hands-on IC
