Responsibilities
- Design scalable, real-time, and batch ETL pipelines using enterprise integration tools.
- Write optimized, production-grade applications using Java and Python.
- Normalize, cleanse, and automate data verification processes across disparate data sources.
- Coordinate data movement and schema evolution across relational, NoSQL, and Object-Oriented databases.
- Architect conceptual, logical, and physical data models for transactional and analytical systems.
- Facilitate data working groups and translate non-technical requirements into technical data schemas.
- University degree in Information Technology, Computer Engineering, or related fields.
- Minimum 7 years of data engineering experience within capital markets or FinTech.
- Advanced proficiency in Java, Python, and data modeling frameworks.
- Hands-on experience with Oracle, Postgres, GaussDB, OceanBase, or NoSQL databases.
- Proven experience building data solutions across public and private cloud environments.
- Strong fluency in English along with Cantonese or Mandarin.