6 дней назад
Data Engineer (DV Equities)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (DV Equities) (Market Data): Building scalable data pipelines and infrastructure for trading, research, and risk systems with an accent on market-data quality, low-latency processing, and high-throughput storage. Focus on integrating pipelines with trading systems, optimizing query performance, and solving data reliability challenges for quantitative researchers and traders.
Location: Hong Kong
Company
is a proprietary financial trading firm operating across North America, Europe, and Asia, with DV Equities focused on Asia-Pacific equities and futures market making.
What you will do
- Design, build, and maintain scalable pipelines for large volumes of market and trading data.
- Clean, validate, and enrich data for research and production systems.
- Optimize storage, queries, and processing workflows for low-latency and high-throughput requirements.
- Collaborate with quantitative researchers, traders, and software engineers to deliver data solutions.
- Integrate pipelines into trading and research infrastructure.
- Monitor data quality and pipeline health, troubleshoot issues, and document data flows and schemas.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong proficiency in Python and SQL.
- Experience with data pipeline tools and frameworks such as Airflow, Kafka, or Spark.
- Familiarity with relational and non-relational databases and data lake or warehouse technologies.
- Understanding of data modeling, ETL/ELT processes, and data quality practices.
- Experience with large-scale datasets, performance optimization, problem-solving, and cross-functional communication.
Nice to have
- Experience in financial markets or trading data.
Culture & Benefits
- Hands-on work in a fast-paced, collaborative trading environment.
- Collaboration with quantitative researchers, traders, and software engineers.
- Exposure to real-time trading and historical market-data systems.
- Inclusive equal-opportunity workplace.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →