Data Engineer

JOB DESCRIPTION

We are a dynamic, fast-growing team that’s excited about e-commerce and logistics and the opportunity to transform these industries with data and technology. Join us and our journey to drive growth in the e-commerce market. We are looking for you as a Data Engineer
We need you on our team
You will be part of a young & motivated team, driving the next level of growth of our client and Parcel Monitor applications that help customers track e-commerce shipments around the globe. As part of our team, you will have a very direct impact on the success of the company.
As a data engineer, you are in charge of the data ecosystem, which includes everything from data sources and databases to data storage solutions. These components are connected by pipelines that transport and transform data. Your work would orbit around the formation of a data lake, and system and tools to consume this data lake.
You will be working side by side with our engineers and data scientists in both data analysis processes and bringing prediction models to the production environment.
And you will also be developing analytical tools and programs. Though we are promoting the use of open sources, some situations call for bespoke software for better customization, user experience, and data accuracy.

JOB REQUIREMENT

At least 4 years of working as a data engineer
Solid foundation in Python and at least another language in the JVM family
Deep knowledge of SQL Database design
Experience with distributed system, high volume Databases, and ETL pipelines
Familiarity with Big data analysis
Exposure to a wide range of NoSQL solutions
Excellent critical thinking, organizational and communication skills
Strong ownership and good collaboration skills to work in a team
Good English communication

WHAT'S ON OFFER

The competitive compensation package, and a preference for internal promotions.
Unlimited leave plan
Flexible working hours, and open environment. Work From Home is available by requests
Premium insurance and annual medical checkup
Free lunch, free fruit, snacks are provided.
Weekly 1-1 catch-up for training and career development, team bonding events, various training programs.
Unlimited to O’Reilly technical materials.
Opportunities to work alongside people from around the world that share the same passion and dedication.
Locating in a quiet area with little traffic, full of natural light and within walking distance to many convenient facilities, our office in Ho Chi Minh City makes work-life integration to the fullest.

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:

Data Engineering, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J00848

Status:

Close

Related Job:

Senior AI DevSecOps Engineer

Ho Chi Minh - Viet Nam


Product

  • Devops
  • AWS
  • Azure
  • Security

CI/CD Pipeline Management: Build and manage the CI/CD pipeline to ensure automation, security, and scalability across all stages of the development lifecycle. Infrastructure & Security: Design and implement secure multi-cloud infrastructure solutions leveraging cloud services, containerization, and orchestration tools (e.g., Kubernetes, Docker). Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA (Open Policy Agent) or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimise CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack (NewRelic, Prometheus, Grafana, ELK/EFK, or Azure Monitor) with proactive alerting, dashboards, and runbooks for critical business flows and security events. Secret & Credential Management: Design and enforce secrets management practices across all environments using, Azure Key Vault, AWS Secrets Manager, 1Password, ensuring zero hardcoded credentials in codebases and pipelines. Incident Response & On-Call: Own and continuously improve incident response processes - define runbooks, lead post-mortems, track MTTR, and participate in on-call rotation to maintain platform reliability and SLO adherence. Threat Modelling & Penetration Testing: Conduct regular threat modelling sessions with engineering teams and coordinate or perform penetration testing activities to proactively identify attack surfaces before they reach production. Code Security: Conduct regular code reviews and static/dynamic analysis to identify and remediate security vulnerabilities. Compliance and Best Practices: Ensure compliance with industry standards and best practices, including GDPR, ISO, PCI-DSS, and others. Collaboration: Collaborate with development, operations, and security teams to foster a culture of automation and security-first thinking. Mentorship: Mentor junior engineers and other team members on security best practices. Documentation: Maintain thorough and up-to-date documentation of security policies, procedures, and incident reports. Trend Scouting: Stay updated with the latest trends in technology and AI to integrate innovative solutions into our processes.

Negotiation

View details

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • C/C++
  • Python

Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering. Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines. Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data. Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals. Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows. Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements. Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability. Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Negotiation

View details

Senior Backend Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Golang
  • Ruby

Design, build, and operate backend services that power a leading B2B SaaS platform for the construction industry. Design clean, maintainable, and extensible software architecture. Identify and resolve performance bottlenecks (query optimization, caching, async processing). Drive software quality through automated testing, code reviews, observability, and CI/CD practices. Review and validate AI-generated code to ensure maintainability, correctness, and security. Mentor engineers and raise the team's engineering bar.#Development environment: Backend: Ruby (on Rails), Golang, Amazon Aurora (MySQL), DynamoDB FrontEnd: Nuxt.js, Vue.js, Next.js, ReactJS Mobile App: Kotlin, Swift, Flutter Deploy/ Build: AWS Amplify, CodePipeline, CodeBuild, CircleCI, GitHub Actions Others: Swagger, Docker, Figma, Confluence, JIRA, esa, gRPC Infrastructure: Helm, Terraform Automation test: Autify, Magicpod

Negotiation

View details