Scalable Data Pipelines Specialist

4 days ago

Singapore beBeeDataEngineering Full time $80,000 - $120,000
Data Engineer Position

We are seeking an experienced data engineer to take on the challenge of designing and developing scalable data pipelines.

Key Responsibilities:
  • Designing and developing scalable data pipelines to collect and process large volumes of data from multiple sources.
  • Building physical data models and ETL processes to ensure data quality, integrity, and accessibility.
  • Microservices Development: Building and maintaining highly scalable and fault-tolerant microservices, including efficient server-side APIs.
  • Deployment: Hands-on with CI/CD, Jenkins, Ansible, DevOps process, Enterprise integration patterns.
  • Hands-on with programming languages (Python, SQL, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys.
  • Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture.
  • Proficiency in React with hands-on experience in UI development a plus.

Requirements:

  • At least 4-year Bachelor's degree in quantitative fields with minimum of 5 years of relevant data experience in data engineering / MLOps, full stack engineering, preferably in financial organizations or Masters in quantitative fields (Computer Science, Statistics or similar).
  • Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams.
  • Certifications in relevant technologies or frameworks are a plus.

Benefits:

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

About This Role:

This is an excellent opportunity to join our dynamic team and contribute to the development of our data analytics capabilities.

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