Chief Data Infrastructure Specialist

6 days ago


Singapore beBeeDataEngineering Full time $120,000 - $150,000
Job Title

A Data Engineering Specialist is needed to enhance and optimize our current data infrastructure.

The ideal candidate will have extensive knowledge of data management, cloud-based big data services, and real-time data processing.

We are seeking a detail-oriented professional with strong analytical skills and experience working across IT and cross-functional teams.

  • Optimize existing data pipelines and workflows to improve performance, scalability, and reliability.
  • Collaborate with the IT team to design and enhance cloud infrastructure, ensuring alignment with business and technical requirements.
  • Demonstrate expertise in data management principles to optimize data frameworks, ensuring efficient data storage, retrieval, and processing.
  • Act as service owner for cloud big data services and orchestration tools, driving operational excellence and reliability.
  • Design, implement, and maintain robust data pipelines and workflows to support analytics, reporting, and machine learning use cases.
  • Develop and optimize solutions for real-time data processing using technologies such as Apache Flink and Kafka.
  • Monitor and troubleshoot data systems, identifying opportunities for automation and performance improvements.
  • Stay updated on emerging data technologies and best practices to drive continuous improvement in data infrastructure.
Requirements

To succeed in this role, you should possess:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's degree preferred).
  • 3+ years of experience in data engineering, with proven success in optimizing and improving data systems.
  • Proficiency in programming languages such as Python, Java, or Scala, with strong expertise in SQL across major database platforms (PostgreSQL, MySQL, Snowflake).
  • Hands-on experience with orchestration tools (e.g., Apache Airflow) and real-time data frameworks (e.g., Apache Flink, Kafka).
  • Experience with big data and cloud-based processing environments, including AWS EMR with Spark and other services on AWS, Azure, or GCP.
  • Knowledge of modern data architectures, including data warehousing, data lakes, and data management frameworks.
  • Familiarity with CI/CD pipelines and version control systems (e.g., Git).
  • Strong problem-solving and analytical skills, with a focus on optimization and scalability.
  • Excellent communication and collaboration abilities, with experience working across IT and cross-functional teams.
What You Will Experience Working With Us

You will be part of a company that values authenticity and diversity of thoughts and backgrounds.

An inclusive and respectful environment with open workspaces and an exciting start-up spirit awaits you.

Fast-growing company with opportunities to network with industrial pioneers and enthusiasts.

Able to contribute directly and make an impact on the future of the digital asset industry.

Involvement in new projects, developing processes/systems.

Personal accountability, autonomy, fast growth, and learning opportunities.

Attractive welfare benefits and developmental opportunities such as training and mentoring.



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