Responsibilities

📍Collaborate closely with the risk business team to support the development of risk-related data systems. 📍Design, build, and maintain the risk data mart, ensuring thematic data is reusable across different risk domains. 📍Govern data assets, including tasks, tables, metrics, labels, and dashboards. Design and implement governance standards and SOPs, driving governance initiatives to successful outcomes. 📍Develop data products. Drive the productization and intelligence of risk data construction, management, and application.

Requirements

📍Bachelor’s degree or higher in Computer Science, Engineering, or a related discipline. 📍2-5 years in big data technologies such as Hadoop, Spark, Presto, and Hive, with practical experience in Spark task optimization. 📍Skilled in designing data warehouse subject models, metrics systems, data quality management, and data governance. 📍Experience in backend development, with proficiency in programming languages like Java, Python, or Node.js. 📍Strong understanding of RESTful APIs, microservices architecture, and server-side technologies. 📍Experienced in database design and management for both SQL and NoSQL systems. 📍Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization tools like Docker and Kubernetes. 📍Strong analytical thinking and excellent communication skills, both verbal and written.

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