Real-time Data Engineer
3 days ago
We are seeking an experienced Real-time Data Engineer to join our team in Singapore. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining real-time data pipelines that support our trading business.
About the Role
This is a unique opportunity to work with a leading global investment bank and contribute to the development of our real-time data infrastructure. You will work closely with cross-functional teams to design, implement, and deploy scalable data systems that meet the needs of our traders and risk management teams.
Responsibilities
- Design, build, and maintain real-time data pipelines using open-source and vendor tools
- Collaborate with cross-functional teams to identify requirements and develop solutions
- Implement and deploy scalable data systems using containerization and cloud technologies
- Monitor and troubleshoot data systems to ensure high availability and performance
Requirements
- 3+ years of experience as a DevOps Engineer, SRE, or System Admin
- Strong understanding of Linux fundamentals and networking principles
- Experience with scripting languages such as Python, bash, or Go
- Familiarity with infrastructure as code tools such as Terraform or Ansible
- Knowledge of market data products and trading business
Benefits
- Competitive salary: SGD $120,000 - SGD $180,000 per annum
- Comprehensive benefits package including health insurance, retirement plan, and paid time off
- Opportunities for professional growth and development in a dynamic and innovative environment
About Goldman Sachs
At Goldman Sachs, we are committed to growing our distinctive culture and holding to our core values which always place our clients' interests first. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond.
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