C++ Engineer (Operations)

ABOUT CLIENT

Our client is a global investment firm

JOB DESCRIPTION

Resolving issues with a variety of structured and unstructured data for quantitative analysis and financial engineering.
Maintaining data quality in pipeline content and execution.
Addressing issues with data node usage and development.
Engaging with clients to understand their needs and propose solutions for reported problems.
Creating utility tools to automate operational troubleshooting and provide ongoing support.

JOB REQUIREMENT

Must possess a strong academic background with at least a bachelor's degree in a technical or quantitative field.
Should have at least 2 years of relevant experience working as a Data Engineer or in similar roles.
Knowledge of data structures and algorithms is essential.
Proficiency in C++ based tools such as STL and object-oriented programming in C++ is a requirement.
Strong command of English and the ability to communicate effectively within a global team environment.
Experience with Linux/Unix shell and Git is required.
Familiarity with python-based tools like Jupyter notebook and coding standards like pep8 is beneficial.
Demonstrated ability to implement data science pipelines and real-time applications in C++ (python experience is a plus).
Familiarity with GDB, PDB is advantageous.
Excellent analytical and problem-solving skills with exceptional attention to detail.
Self-motivated and capable of working independently with minimal direction.

WHAT'S ON OFFER

Competitive and appealing compensation package with a clear career progression
Emphasis on continuous learning and development through training courses, library access, speaker sessions, and knowledge sharing events
Opportunity to collaborate with intelligent and talented colleagues
Support for diversity and inclusion through employee resource groups
Premium health insurance and Employee Assistance Program
Generous time-off policy and sabbatical leave based on tenure
Employee benefits through Trade Union for staff and family
Monthly team-building activities and employee clubs for various interests
Annual company trip and occasional global conferences to connect with global teams
Daily tea break, snacks, and meals provided in the office

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

C/C++, Python, Data Engineering

Location:

Ha Noi - Viet Nam

Working Policy:

Onsite

Job ID:

J00642

Status:

Close

Related Job:

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details