Senior Data Engineer, Virtual Insurance
AIFT, Taiwan +1
About the job
[Job Overview] We are looking for an experienced Senior Data Engineer to join our engineering team and play a key role in building and scaling our enterprise data platform. You will design, develop, and maintain high-quality data warehouses and data-driven applications that power analytics, reconciliation, and business decision-making across the organization. This role requires strong expertise in modern data architectures, pipeline engineering, and data quality management. The ideal candidate combines hands-on technical capability with a deep commitment to reliability, scalability, and governance in a regulated environment.
[Responsibilities]
- Data operations: own day-to-day operations of data platforms/pipelines capacity, stability, upgrades, deployments, and recovery drills to sustain high availability and low latency.
- Data collection: design/manage multi-source ingestion (exchanges, internal and external systems), protocol parsing, and robust retry mechanisms.
- Develop rule-based and statistical data quality checks (completeness, uniqueness, time alignment, anomaly detection, error handling).
- Implement automated remediation, reconciliation workflows, and historical backfilling.
- Establish monitoring and alerting frameworks to ensure trusted, production-grade datasets.
