As a Senior Data Engineer on the MIDAS Data Platform Team, you will build and maintain a central data hub connecting systems across a digital bank. The role includes developing data pipelines and models, ensuring data quality and reconciliation, and serving downstream analytics, reporting, and risk use cases. You will also participate in platform architecture decisions, mentor mid-level engineers, and support end-of-day data collection aligned with Zengin settlement timing.
The team builds and deploys machine learning models that power PayPay products, and is also responsible for experimentation and data-driven insights. The role owns the end-to-end design, implementation, evaluation, and maintenance of machine learning models, and leads architectural decisions for data science systems. It also processes, analyzes, and visualizes user and merchant data to provide insights that influence product strategy.