Senior Big Data Engineer - Risk
atBinance
Jan 29
Founded by Changpeng Zhao (CZ) in 2017, Binance is currently the largest cryptocurrency exchange in terms of daily volume. Binance is the core global exchange. However, Binance operates separate exchanges in some countries such as the US, UK, Singapore, and Turkey due to regulatory reasons.
Since Binance has global operations, the exchange does a lot of hiring on a regular basis. Being a market leader, Binance Jobs also come with significant perks. Most of the jobs are remote, with flexible working hours. Binance also offers health insurance, the option to be paid in crypto, and programs to develop your skills.
If you're looking for Binance US Jobs, a wide range of them are also available most of the time. On average, the Binance Interview process lasts 2-4 weeks with 4 steps: Application Review, Interview, Offer, and finally Onboarding.
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 250 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.
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.
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.
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