Data Engineer

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

Responsibilities

• Develop and maintain data engineering systems across the data lifecycle, including data pipelines for batch and streaming applications, data storage layer and data processing engines (OLAP/OLTP)
• Develop APIs to support high throughput data processing, feature engineering, risk algorithms and data science use cases
• Develop data quality monitoring and alert systems to ensure high availability and high quality data sources
• Design and upgrade of data architecture to support new data applications, technical enhancements and business requirements

Requirements

• 2+ years experiences of developing big data related applications
• Proficient in Java language, familiar with Spring framework, and micro-service architecture
• Proficient in big data pipeline development including batch and streaming processing
• Familiar with big data components like Hadoop, Hive, Spark, Spark streaming, Flink, Presto, Hbase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis
• Experience in big data product development is a plus, including data warehouse, query platform, streaming, recommendation, user profiling, risk management, etc.
• Team working, analytical mind, be optimistic, willing to accept challenges and quick response against incidents

Conditions• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry• Fast moving, challenging and unique business problems• International work environment and flat organisation• Great career development opportunities in a growing company• Possibility for relocation and international transfers mid-career• Competitive salary• Flexible working hours, Casual work attire