Data Engineer

ABOUT CLIENT

Our client is a reputable company specializing in software development and IT consulting services

JOB DESCRIPTION

Enrich structured and unstructured data to create datasets.
Improve data quality and integrity by developing validation tools to assess the effectiveness of data enrichment.
Develop expertise in deep learning and machine learning applications, analyzing and understanding the underlying dynamics and behaviors in the data.
Generate insights from the data and collaborate with the research team to create tradable signals.
Develop utility tools to automate software development, testing, and deployment workflows.
Provide technical support for global researchers, including diagnosing technical problems and proposing solutions to developers.

JOB REQUIREMENT

A strong academic background with a minimum of a Bachelor's degree in a technical or quantitative field.
Practical experience and solid theoretical understanding of deep neural networks and other machine learning techniques.
A demonstrated ability to design and implement data science pipelines and real-time applications in Python.
Proficiency with Python-based tools such as Jupyter Notebook, and familiarity with coding standards (PEP8).
Exceptional analytical and problem-solving abilities with strong attention to detail.
Excellent software development skills with the ability to convert rough overall use-cases into a working codebase.
Motivated by deep curiosity and passion to learn.
Experience in the AI/LLM space.
Proficiency with C++ tools such as STL and object-oriented programming (OOP) in C++.
Prior experience as a Data Scientist or Data Engineer in a finance/investment domain.
Hands-on experience with Linux/Unix shell and Git.
Practical experience with time-series forecasting and analysis methods.

WHAT'S ON OFFER

Job Opportunity
Be part of a dynamic and passionate team working on cutting-edge projects using the latest technology.
Collaborate with experts from around the globe to enhance your skills and knowledge.
Embrace a culture of transparency and support, valuing individual growth and potential.
Benefits include
Additional month's salary and performance bonuses.
Flexible hybrid work model allowing for a blend of office and remote work.
Comprehensive healthcare and accident insurance coverage.
Yearly health checkup package.
Various allowances such as lunch, marriage, newborn baby, bereavement, and more.
Well-equipped pantry for a comfortable lunch break.
Diverse sports and social activities like yoga, football, badminton, and tech clubs.
Annual company retreats and team-building events.
Recognition awards for outstanding individual and team performance and long-term service.
Professional development opportunities including advanced English and soft skills training.
Regular social events such as gatherings, games, birthday celebrations, and year-end parties.
Company funds to support personal loans for home, vehicle, tuition, etc.

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:

Outsourcing

Technical Skills:

Data Engineering, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J01896

Status:

Close

Related Job:

Senior Data Scientist

Ho Chi Minh - Viet Nam


Information Technology & Services

  • Data Science

We're seeking a seasoned Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you'll dive deep into statistical analysis, data mining, and cutting-edge Large Language Model (LLM) technologies to shape the future of AI-driven products. You'll engage hands-on with emerging technologies, pushing the boundaries of what's possible in AI from early ideation and research through to final delivery. Join us to take the helm in developing data-driven product features, mentor up-and-coming talent, and help define the next frontier of AI-powered innovation! You will closely collaborate with not only the data team but also product managers and engineers to ensure successful analytics or AI feature execution. Human-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making. AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement. Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment. Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery

Negotiation

View details

Senior DevOps Engineer

Ha Noi - Viet Nam


Financial services, Crypto

  • Devops
  • AWS

#About the Role We are looking for a highly skilled Senior DevOps Engineer to join our team. You will play a key role in designing, implementing, and maintaining infrastructure solutions that ensure the stability, reliability, and scalability of our systems. The role requires a balance of strong technical expertise, problem-solving skills, and a passion for automation. You will collaborate with cross-functional teams to drive process improvements, enhance engineering productivity, and support business-critical applications. As a Senior DevOps Engineer, you will also be responsible for ensuring system security, leading operational automation efforts, and participating in a 24/7 on-call rotation to maintain uptime and business continuity. In line with our philosophy that development and operations are inseparable, you will leverage your coding expertise to intervene in application modules, develop new automation tools, and ensure seamless integration between code and infrastructure.#Key Responsibilities Develop, maintain, and manage tools to automate operational activities and improve engineering efficiency, including writing custom modules in Node.js or Golang for task management and system orchestration. Troubleshoot, diagnose, and resolve complex software and infrastructure issues, including debugging and modifying application code in Node.js and Golang environments. Update, track, and resolve technical issues in a timely manner. Recommend architectural enhancements and propose process improvements for scalability and reliability. Contribute to application development by intervening in existing modules or creating new ones to enhance system manageability, scalability, and performance Evaluate and implement new technologies, frameworks, and vendor products to support business goals. Apply best-in-class security practices to safeguard critical systems and data. Ensure stability, reliability, and performance of production and non-production environments. Collaborate with engineering, QA, and product teams to align infrastructure with development needs. Participate in a 24/7 on-call rotation to support high-availability systems.

Negotiation

View details

DevOps Engineer

Ho Chi Minh - Viet Nam


Product, Offshore

  • Devops
  • Java
  • Kubernetes

As a Mid-level DevOps Engineer, you will play a key role in building, maintaining, and automating the environments, CI/CD pipelines, and infrastructure that power the mission-critical solutions for our internal teams and external clients. Maintain and ensure the availability of development, staging, and production environments Manage access, runtime stability, and environment upgrades Design, build, and improve CI/CD pipelines using tools like Jenkins, Automate build, testing, and deployment processes Troubleshoot and resolve pipeline issues Develop and maintain automation scripts using Ansible Standardize infrastructure configurations and automate environment provisioning Configure and maintain monitoring, logging, and alerting systems (Grafana, Prometheus, Splunk) Enhance observability with proactive alerting and dashboards Respond to alerts and incidents within agreed SLAs Triage and resolve infrastructure and pipeline issues Document incidents and implement preventative measures Apply system hardening, vulnerability remediation, and patching Support audits and compliance checks Monitor system performance and resource usage Conduct tuning (e.g., JVM, database, message broker) and provide optimization recommendations

Negotiation

View details