Field Engineer (Data Engineer)

JOB DESCRIPTION

Responsible for supporting the Data Science POCs/projects with data acquisition and preparation.
Responsible for supporting the Data Science POCs/projects with systems integration engineering.
Responsible for ensuring their work for the POCs/projects are delivered on time, scope and quality
Work closely with Data Scientists to successfully deliver on customer requirements from POC/projects.
Provide regular progress updates to the customer and other stakeholders
Perform activities like connecting to customers’ systems to download data, data storage, clearing, wrangling and preparing datasets for data science work.
Some POCs/projects may require simple front-end development. The candidate must be flexible to switch between data engineering tasks and front-end engineering tasks as required.
Raise POC/project risks, issues, concerns proactively and constructively
Maintain POC/project documentation and artifacts as per team’s guidelines and standards
Provide product related feedback to the H1st product development team, and contribute to H1st development as required.
Help to recruit and onboard new team members as required 

JOB REQUIREMENT

Must-have:
5+ year’s work experience after Bachelor's degree or 3+ years work experience after Master’s degree.
Strong data data engineering fundamentals including solid experience in data storage, data conversion, data wrangling and preparing datasets for data science
Demonstrable experience in system access protocols (eg connecting to cloud storage platforms, hadoop data lakes etc) for data acquisition
Demonstrable ability to think critically in understanding problems and formulating solutions
Demonstrable experience working with data storage formats-AWS S3, Parquet, Spark Dataframes, and similar
Experience working as systems integration engineer and/or front-end engineer is a huge plus
Excellent customer interaction skills, including ability to communicate effectively with technical and non-technical audiences (for example, customers)
Programming languages & packages: Python/SciKit-Learn, MS Excel, scripting 1+ year experience doing data engineering on one of the public cloud platforms is required
Nice-to-have:
Prior experience working as a data scientist
University degree: Bachelor’s or Master’s degree in Computer Science or equivalent  

WHAT'S ON OFFER

Awesome colleagues
We will match exceptional talent with exceptional compensation (salary and equity)
You can shape the company culture where the best ideas always win out–regardless of the role, title or seniority; and where engineers are encouraged to help drive strategic decisions
Unlimited vacation policy
Comprehensive health insurance

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, AI Application Platform

Technical Skills:

Data, Data Engineering, Machine Learning, Python, Java, Big Data

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00638

Status:

Close

Related Job:

Vietnam Lead Solution Architect

Ho Chi Minh - Viet Nam


Outsource

  • Java
  • Architect
  • Microservices
  • AWS
  • Presale

Define the overall technology strategy and solution architecture for the program. Translate business capabilities into scalable technical architecture across applications, data, integrations, and infrastructure. Ensure consistency in architecture across different domains, squads, and solution streams. Verify technical decisions and implementation approaches to ensure long-term sustainability. Ensure architecture aligns with enterprise standards, regulatory expectations, and client technology roadmaps. Provide leadership and guidance to architecture, engineering, and delivery teams throughout the software lifecycle. Act as the final technical escalation point for critical delivery issues, scope changes, risks, and dependencies. Ensure delivery quality through strong technical governance, design reviews, and architecture compliance. Oversee the technical RAID process (Risks, Assumptions, Issues, Dependencies) and its mitigation planning. Ensure all non-functional requirements such as security, performance, scalability, reliability, observability, and availability are addressed. Serve as the primary technical counterpart to client senior stakeholders, including enterprise architects and technology leadership. Lead technical workshops, architecture reviews, design sessions, and executive alignment discussions. Present complex technical concepts clearly to both technical teams and senior non-technical leadership. Build credibility and trust with stakeholders at all levels, from engineers to executives. Validate and map business requirements into clear technical solution concepts and designs. Provide consultative guidance on technology choices and implementation approaches. Review business processes and align them with technical design, ensuring end-to-end feasibility. Produce and maintain high-quality technical documentation and solution design artifacts. Act as a bridge across product owners, engineering managers, solution architects, platform teams, security teams, and vendors. Ensure alignment between multiple delivery streams such as core banking, cards, payments, digital channels, integration, and data. Coordinate architecture and delivery consistency across distributed and offshore teams. Drive collaboration between internal and client teams to remove blockers and expedite execution. Promote modern engineering practices including microservices and distributed architecture, event-driven systems (Kafka), cloud-native development, CI/CD, DevOps, and automation-first engineering. Advocate for security-by-design and compliance-by-design principles across delivery. Promote AI-assisted engineering practices across the SDLC (code generation, test automation, refactoring, documentation), while ensuring correctness, governance, and security.

Negotiation

View details

DevOps Engineer

Ha Noi - Viet Nam


Outsource

  • Devops

Client Consulting: Directly engage with clients to design solutions and implement DevSecOps practices. Tool Deployment & Configuration: Deploy, install, and configure DevSecOps and CI/CD tools, including: Container Orchestration: Kubernetes, OpenShift Source Code Management: GitLab, GitHub Automation Tools: Jenkins, GitLab CI Artifact Management: Nexus, JFrog Code Scanning: SonarQube, Semgrep, BlackDuck, Coverity Observability Solutions: Deploy, install, and configure logging, monitoring, and tracing systems. CI/CD Pipeline Development: Build and optimize CI/CD pipelines for application delivery. Operational Support: Provide ongoing operational and administrative support for DevSecOps tools and solutions. Research & Innovation: Conduct R&D on emerging technologies in DevOps, DevSecOps, Cloud-Native, and AI.

Negotiation

View details

Software Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Azure
  • .NET

Creating API-based and event-driven integration solutions Developing integration solutions following Azure best practices and cloud-native patterns Constructing integrations using Azure Integration Services like Logic Apps, Functions, API Management, Service Bus, and Event Hubs Installing and managing SAP integrations, such as SAP S/4HANA, SAP PI/PO, or SAP BTP Integration Suite Building and maintaining integrations using C# and the .NET ecosystem Utilizing Infrastructure as Code practices with tools like Terraform Ensuring secure authentication, authorization, and API security utilizing OAuth and best practices Working with architects, developers, and clients to devise end-to-end integration solutions Assisting in deployments, monitoring, and continuous improvement of integration platforms, ensuring reliability and observability in production environments

Negotiation

View details