With an AI-first vision, MoMo's data organization is scaling for many people, each with their own data needs. Within AI & CreditTech, the Data is the backbone for MoMo's lending, credit risk, recovery, and decisioning products. The team's mission is to build the platform that makes their data's life easy: reliable pipelines, trustworthy risk-critical data, and self-service tools that let every credit and lending team move fast.
Mô tả công việc
Cooperate with data stakeholders to define data models that fit their needs.
Develop batch and real-time data pipelines that feed our hungry Data Consumers (
Data Analysts, ML Engineers,
Data Scientists, Risk) that power credit scoring, fraud detection, lending decisions, and recovery to a high standard of reliability and quality.
Monitor and maintain the data platform ecosystem to ensure the committed data SLAs with our Data Consumers.
Develop services and tools that enable data discovery across MoMo.
Develop services and tools for data observability and quality, so risk-critical credit data can be trusted before it drives a lending decision.
Contribute to the design of our lending data lake and warehouse.
Yêu cầu công việc
At least 2 years as a Data Engineer or
Software Engineer, with fluency in a backend language such as Java, Go, Python, or Kotlin. Interest in financial, credit, or risk data is a plus.
Hands-on experience with Spark and Docker.
Strong engineering foundations: OOP, functional programming, and data structures.
Experience with database systems (RDBMS and NoSQL): you can read and understand a pile of SQL from data consumers and help them find solutions to their problems.
Solid problem-solving skills.
Strong collaboration skills: you reach out to help other team members.