Binance Accelerator Program - Data Engineer (Risk)

Details of the offer

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 cryptocurrency revolution that is changing the world?
About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space.
You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world's leading blockchain ecosystem.
Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.
Learn about BAP Program HERE Who may apply Current University students and recent graduates who can commit at least 6 months tenure, minimum 3 days per week.
Responsibilities: Participate in the development and maintenance of the risk basic products and offline data pipeline. Develop internal data products and maintain data flow stability. Requirements: Computer-related major, bachelor degree or above. Have a solid Java foundation and understand basic frameworks, such as multithreading and networking. Proficient in using SQL for development. Knowledge of the basics of big data development, such as Hive, Spark, and Flink.
Be able to use them to develop related tasks is a plus. Knowledge of HBase, StarRocks or other OLAP and OLTP is a plus. Good logical thinking ability, strong sense of teamwork, and strong learning ability. Good communication skills, fluency in English is required to be able to coordinate with overseas partners and stakeholders.
Additional languages would be an advantage. #J-18808-Ljbffr


Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

Job Function:

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