Senior Data Engineer

Responsibilities:

Responsible for development projects in the data and infrastructure space to meet the firm's long- and medium-term needs
Collaborate with different teams to understand the needs and develop an optimized data infrastructure
Project manage resources efficiently to meet the overall delivery goals timely
Specifically, maintain, implement, and improve internal data pipeline, repository, data warehouse and data access APIs
Work closely with trading and operations to develop data pipelines to cleanse and transform data for both external and internal analytics reports
Centralise and automate the data processes for Trading and Operations
Perform web-based system testing, debugging and program re-factorization
Carry out ad hoc modifications according to the market dynamics and team's needs
Keep up to date with industry trends and development
Create and implement data management processes and procedures

Role requirements:

Graduated with bachelor's degree in Computer Science, Computer Engineering, Data Science, or other related disciplinary
At least 3+ years of programming experience and proficient in at least one of the following languages: C, C++, Java, Python, VBA
In depth understanding of the front to back flow from trading to operations
Experience in database concepts with proficiency in SQL and NoSQL, design and development skills with in-depth understanding of server architecture (Linux, Win or Could services)
Experience in processing large and complex datasets
Experience working with cloud or on prem technologies and data infrastructure (workflow management engines, databases, storage & file systems, analytics platforms)
Able to deal with technical issues and communicate with vendors and internal stakeholders
Tech experience in asset management, investment banking, equity research, private equity, or hedge funds
Fluent in English, Cantonese and/or Mandarin nice to have
Team player, enthusiastic in brining improvement to the firm, and great interpersonal skills

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