Senior Big Data Engineer
atBinance
Feb 12
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 building a cutting-edge data platform with advanced infrastructure and tools to support data processing and analytics across the organization. As a Senior Big Data Engineer, you will leverage the latest technologies to design, build, optimize, and maintain data pipelines, data warehouses, and data lakes. Collaborating closely with data scientists, data analysts, and other engineers, you will deliver innovative data solutions to drive business success.
Responsibilities:
- Define the technical strategy and roadmap for data infrastructure evolution.
- Architect, implement, and maintain reliable and efficient platforms for data processing and analytics.
- Enhance model training and deployment workflows using MLOps/LLMOps practices.
- Lead and execute data platform projects, from initial design through to production.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in developing data infrastructure or constructing platforms.
- Proficiency in big data technologies, such as Hadoop, Spark, Flink, Hive, and Kafka.
- Strong programming skills in languages such as Java, Python, and SQL.
- Demonstrated ability to collaborate effectively and build strong relationships across teams.
- Experience with DevOps and Agile methodologies.
- Excellent analytical and problem-solving skills with a focus on automation.
- Knowledge of machine learning and data science workflows.
- Self-motivated, quick learner with a strong sense of ownership and accountability.
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