Talend Engineer (Big Data)

ABOUT CLIENT

Our client is a software company that provides SaaS solutions for businesses

JOB DESCRIPTION

Create, test, and implement new ETL pipelines or improvements to existing pipelines in a Big Data environment using Talend
Carry out software development for applications, including new development, maintenance and support, and provide production support
Translate functional requirements into technical designs
Automate the ETL process for various datasets being ingested into the big data platform
Develop and integrate software applications following appropriate development methodologies and standards, applying standard architectural patterns, and considering performance and security measures
Address customer complaints with data and consider suggestions for improvements and enhancements
Make recommendations for technical aspects of projects and system improvements
Ensure compliance with established standards and may advise senior managers on technology solutions.

JOB REQUIREMENT

More than 5 years of relevant IT experience
Over 3 years of development experience specifically with the Talend Data Integration module
2+ years of experience in Talend Administration Center, Data Quality, API Designer and Services, and Big Data Frameworks modules
2+ years of hands-on experience with Hadoop, Hive, HDFS, and Oracle RDBMS
Proficient in database schema, object management, data modeling & architecture, and data warehouse design
Strong knowledge of Java programming and PL-SQL
Proficient in API integration (REST)
Familiarity with Unix/Linux and Shell script
Competent in source-code control using a tool such as GitLab
Experience with CI/CD and DevOps development following secure coding practices
Additional expertise in performance tuning is an advantage
Familiarity with emerging cloud technologies related to Big Data is an added bonus
Previous experience in the Finance/Banking industry would be an advantage
Willingness to undertake any additional job duties as required

WHAT'S ON OFFER

Comprehensive healthcare coverage
Dental care benefits
Generous paid leave policy
Support for new parents
Assistance with childcare costs

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:

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:

Engineering Manager – Shop 6.0

Ho Chi Minh - Viet Nam

Outsource

  • Management
  • Backend
  • Frontend
  • Devops
  • Azure

Take on overall technical and organizational responsibility for delivering Shop 6.0 across frontend, backend, and infrastructure Plan delivery scope, milestones, and releases, and coordinate the work of parallel workstreams (frontend, backend, DevOps, QA) Make and facilitate key architectural decisions together with the senior engineers, particularly around microservices, APIs, and cloud-native implementation on Azure Identify and manage risks related to integration (especially the ERP Cloud connection), scalability, and technical dependencies Serve as the central point of contact for stakeholders on scope, prioritization, and timelines Ensure code quality through reviews, mentoring, and clear standards, including a pull request process with mandatory checks and senior/lead review Ensure transparency on progress, risks, and decisions towards the team and management Hire, lead, develop and retain a team of 6 engineers (4 backend and 2 frontend)

Negotiation

View details

Senior Full-Stack Engineer (AI Service Desk)

Ho Chi Minh - Viet Nam

Outsource

  • .NET
  • ReactJS
  • Azure

Create and maintain backend services and APIs using C# and .NET technologies Construct contemporary frontend applications and dashboard interfaces using React Establish scalable integrations between operational systems, analytics services, and reporting layers Possess full-stack development experience across frontend and backend systems Collaborate with engineering and product teams to translate business requirements into technical solutions Enhance application performance, maintainability, and scalability Engage in technical discussions, code reviews, and architecture decisions Contribute to engineering standards and development best practices

Negotiation

View details

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 details