Binance Accelerator Programme Data Engineer

Binance Accelerator Programme - Data Engineer

Singapore /Engineering – Big Data /Full-time Onsite or Remote/ Hybrid

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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?We are looking for a seasoned Big data - Java intern to build an end to end real-time app services system.We are continuing to build up our next generation crypto-currency exchange and are looking for eager, hard-working problem solvers that can continue to evolve our 24-7, highly scalable, exchange system as new features and performance improvements are constantly being added.

Responsibilities:

• Responsible for design, development and optimization of big data platform and data products
• Responsible for requirement analysis with product management, and providing technical solution
• Responsible for iterative development, deployment of products and online problem solving, performance tuning, etc

Qualifications:

• Skilled in Java or Golang, Python, more than one programming language
• Knowledge in Spark/ Hadoop/ HBase /Hive/Flink
• Experience in troubleshooting and tuning, studying component source code is preferred
• SQL skills
• Strong learning ability and problem solving ability, able to quickly grasp business knowledge and solve technical problems
• Fluent in English

#LI-Remote

Working at Binance

•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

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