Big Data Engineer (Spark, Flink, Java)

🛠️ Job Title:

Big Data Engineer (Spark, Flink, Java)

📍 Location: Remote – Based in Taipei, Taiwan

🕒 Type: Full-Time

🌐 Remote Flexibility: Yes (dependent on team)

🏢 About Binance:

Binance is the world’s leading blockchain ecosystem, supporting:

• The largest crypto exchange by volume & users
• A suite of products across finance, education, Web3, research, payments, and more
• A mission to build a more inclusive global financial system

📌 Responsibilities:

• Architect and develop Spring Boot microservices with a focus on scalability and performance
• Utilize Spring Cloud for service discovery, load balancing, and configuration
• Work with big data tools like Spark, Flink, and Hive to process and analyze data
• Manage and optimize data storage systems like HBase and Elasticsearch (ES)
• Collaborate with business teams to deliver data-driven solutions
• Troubleshoot, maintain, and optimize backend systems
• Participate in the full SDLC, including requirements, design, testing, and deployment
• Monitor services using tools like Prometheus and Pinpoint

✅ Requirements:

• Bachelor's or Master’s in CS, Engineering, or related
• 8+ years of Java experience; 3+ years with Spring Boot microservices
• Strong background in Spring Cloud architecture
• Expertise in big data tech: Hive, Spark, Flink
• Familiarity with tools like:
• Apollo (Config Management)
• Kafka (Messaging)
• Xxl Job (Scheduling)
• Prometheus, Pinpoint (Monitoring/Tracing)
• Strong skills in managing large-scale databases and distributed systems
• CI/CD experience (Jenkins, GitLab CI) – a plus
• Knowledge of cloud platforms (AWS preferred) – a plus
• Blockchain/finance domain knowledge – a big plus

🎯 Ideal Candidate Traits:

• Proactive problem-solver
• Comfortable in fast-paced, high-volume environments
• Strong collaborator with cross-functional teams
• Passionate about data engineering, performance optimization, and backend systems

🌍 Why Join Binance:

• Help shape the future of Web3 and digital finance
• Be part of a global remote team solving real-world problems
• Tackle cutting-edge, large-scale projects
• Enjoy career mobility, learning opportunities, and a competitive salary