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Big Data Innovator

2 weeks ago

Singapore beBeeData Full time $90,000 - $120,000

Job Title: Data Engineer Lead


At our organization, we're looking for a highly skilled and experienced Data Engineer Lead to join our team. This is an exciting opportunity to work on cutting-edge big data projects and drive innovation in the field.


As a Data Engineer Lead, you will be responsible for designing, building, and maintaining large-scale data systems. You will work closely with cross-functional teams to identify business needs and develop data-driven solutions.


The ideal candidate will have a strong background in big data technologies, including Spark, Flink, Hive, and other mainstream frameworks. They will also possess excellent analytical and problem-solving skills, with the ability to independently solve complex technical problems.


We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you're a motivated and talented individual who is passionate about data engineering, we encourage you to apply for this exciting opportunity.


  • Design, build, and maintain large-scale data systems
  • Develop and maintain efficient ETL preprocessing workflows
  • Design, implement, and optimize data warehouses
  • Conduct detailed data analysis and reporting
  • Continuously monitor and optimize system performance

Requirements:


  • Strong programming expertise in object-oriented languages such as Python, Java, or Scala
  • Over 4 years of experience in big data development, including real-time and offline data processing
  • Deep understanding and practical experience with big data technologies, including Spark, Flink, Hive, and other mainstream big data processing frameworks
  • Excellent teamwork spirit and communication skills, with the ability to thrive in a fast-paced environment
  • Proficient in both English and Mandarin for effective work communication in a bilingual environment

Benefits:


  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Chance to work on cutting-edge big data projects