
Data Pipeline Specialist
24 hours ago
We are a global financial trading firm with a drive to deeply understand the world around us and make optimal business decisions every day.
Your role involves performing support, deployment, and automation tasks related to data pipelines throughout the Asia Pacific region as part of our trading technology team.
This role is integral to our quant data development team, collaborating closely with developers, traders, and quant researchers.
The position offers daily operations, automation, and developing new tools to improve monitoring, management, and deployment of market data pipelines mainly on Linux operating systems.
Key Responsibilities
- Daily monitoring and market pre-open system checks using automation.
- Developing new tools and utilities to help build data pipelines and studies.
- Becoming a subject matter expert in our in-house systems and data pipelines across market data and static/reference data.
- Building and using automation tools/scripting to automate tasks ensuring system performance, reliability, and accuracy.
- Providing a link between developers, traders, and in-house technology teams for smooth information flow regarding system issues/changes, market data, and connectivity.
- Writing and maintaining technical and user documentation for systems and procedures.
- Identifying opportunities to improve system stability, reliability, and the trading environment through technology enhancements.
Requirements
- Degree in Computer Science, Mathematics, or related technical discipline.
- Proficiency in Python.
- Effective communication skills with technical and non-technical staff.
- Ability to work under demanding deadlines with changing priorities in a trading environment.
- Understanding of financial markets, instruments, and market data concepts, especially in equities and derivatives.
Desired Technical Experience
- Application support, deployment, and monitoring experience.
- Experience with data pipelines and processing.
- Proficiency in Linux.
- Experience with git, GitLab, CI/CD pipelines.
- Experience with Jenkins, Airflow.
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