Talend Engineer (Big Data)
ABOUT CLIENT
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Outsource
Technical Skills:
Data Engineering, ETL/ELT, Big Data
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Hybrid
Job ID:
J01507
Status:
Close
Related Job:
Senior AI DevSecOps Engineer
Ho Chi Minh - Viet Nam
Product
- Devops
- AWS
- Azure
- Security
Management of CI/CD Pipeline: 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. Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimize CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack 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 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. 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 detailsSenior Data Engineer (C++, Python, AI/LLM)
Ho Chi Minh - Viet Nam
Outsource
- Data Engineering
- C/C++
- Python
Refine a wide array of structured and unstructured data to produce high-quality datasets for quantitative analysis and financial engineering. Improve data integrity and quality by creating validation tools and frameworks to assess the effectiveness of data enrichment pipelines. Gain expertise in machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors in the data. Derive insights from large-scale datasets and collaborate with research teams to pinpoint opportunities for tradable signals. Create utility tools to automate software development, testing, deployment, and monitoring workflows. Offer technical support to global researchers, including diagnosing technical issues, troubleshooting Python and C++ code, and suggesting scalable fixes and improvements. Troubleshoot and resolve issues in C++ applications and data pipelines with a strong focus on performance, stability, correctness, and maintainability. Investigate and implement AI/LLM-based solutions to enhance data processing, workflow efficiency, troubleshooting, documentation, and research support processes.
Negotiation
View detailsSenior Backend Engineer
Ho Chi Minh, Ha Noi - Viet Nam
Product
- Golang
- Ruby
Develop, construct, and operate backend services for a leading B2B SaaS platform serving the construction industry. Establish an organized, maintainable, and scalable software architecture. Identify and address performance bottlenecks such as query optimization, caching, and asynchronous processing. Uphold software quality with automated testing, code reviews, observability, and CI/CD practices. Validate AI-generated code to ensure security, accuracy, and maintainability. Provide guidance and support to engineers to enhance the team's engineering standards. 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