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Data Engineer (C++)

External
worldquant logoWorldquant · Ho Chi Minh City, Vietnam
Full-timeOn-site1mo ago
GitLinuxPython
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Requirements

  • Strong academic background - minimum of a bachelor's degree in a technical or quantitative field.
  • Demonstrated ability to implement data engineering pipelines and real-time applications in C++ (python is a plus).
  • Proficiency with C++ based tools like STL, object oriented programming in C++ is a must.
  • Experience with Linux/Unix shell and Git is a must.
  • Good knowledge of data structures and algorithms is mandatory.
  • Proficiency with python based tools like Jupyter notebook, coding standards like pep8 is a plus.
  • Experience in Data Engineer or similar roles is a plus
  • Good command of English. Proactive demeanor and strong communication skills within a global team environment is a plus.
  • Excellent software development skills: ability to convert rough overall use-cases to a working codebase.
  • Motivated by a deep curiosity and passion to learn is a plus.

Benefits

Competitive and attractive compensation package with clear career road-map - where you feel challenged everydayWe offer a strong culture of learning and development: training courses, library, speakers, share and learn eventsLearn from who sits next to you! Working in WQ you are surrounded by smart and talented peoplePremium Health Insurance and Employee Assistance ProgramGenerous time-off policy, unlimited sick days, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and familyTeam building activities every month: Local engagement events - Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.Annual company trip and occasional global conferences - opportunity to travel and connect with our global teamsHappy-hour with tea break, snacks and meals every day in the office!#LI-NV1Copyright © 2025 WorldQuant, LLC. All Rights Reserved.Health insurance

Additional Information

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Job responsibilities include, but not limited to the followings: Transforming a wide range of structured and unstructured data into standardized outputs for quantitative analysis and financial engineering. Overseeing the integration of new technologies and initiatives into data standards and structures Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment. Assessing system performance and making recommendations for software, and data storage improvements Developing the utility tools that can further automate the software development, testing and deployment workflow.

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