5 дней назад
Software Engineer (Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Data) (Rust/C++/Python): Building and maintaining large-scale data infrastructure, pipelines, and systems supporting data analysis and electronic trading with an accent on reliability, security, scalability, and low-latency processing. Focus on designing petabyte-scale storage and compute systems, handling tens of thousands of simultaneous requests, and developing solutions with data scientists, portfolio managers, and traders.
Location: Hong Kong
Company
Quantitative trading firm developing electronic trading infrastructure, data systems, and market access capabilities through independent trading teams and a global organization.
What you will do
- Design, implement, and maintain large-scale storage, compute, and networking infrastructure for data management.
- Build and maintain data pipelines and systems supporting fundamental data analysis and trading strategies.
- Develop reliable, secure, and scalable data systems handling petabytes of data and tens of thousands of simultaneous requests.
- Collaborate with data scientists, portfolio managers, traders, and IT teams to define requirements and deliver data solutions.
Requirements
- Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience.
- At least 5–10 years of professional experience.
- Strong knowledge of network programming, multithreading, data structures, algorithms, and object-oriented programming.
- Professional experience with Rust and/or C++, Python, SQL, NoSQL, and vector databases.
- Experience contributing significantly to multiple greenfield projects.
- Familiarity with trading environments, Arrow/Parquet data lake architectures, Iceberg, DuckDB, Acero, Kubernetes, and cloud deployments such as GCP or AWS.
Culture & Benefits
- Collaborative, results-oriented environment with no unnecessary hierarchy or ego.
- Generous paid time off and regional savings plans.
- Hybrid working opportunities and in-office wellness support.
- Daily breakfast, lunch, and snacks at the workplace.
- Continuous learning workshops, volunteer opportunities, charitable giving, and social events.
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