Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We are developing innovative platform within Risk team to manage and process large-scale data effectively. As a Senior Big Data Engineer, you will harness cutting-edge technologies to design, develop, optimise, and maintain robust data pipelines, data warehouse, data governance, scalable data architectures, and efficient data systems.

QUALIFICATIONS:

• Over 5 years of professional experience in a related field.
• Bachelor’s degree or higher in Computer Science, Engineering, or a related discipline.
• Proficient 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.
• 2+ years of 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.
• Competent in project management and experienced in collaborating with cross-functional teams to gather requirements and set priorities.
• Fluency in English is required to be able to coordinate with overseas partners and stakeholders
• Familiarity with risk-related business domains.

• 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.