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:

Salary:

$ 1,500 - $ 3,500

Job ID:

J00848

Status:

Close

Related Job:

Software Engineer (Java)

Ho Chi Minh - Viet Nam


Product

  • Java
  • Spring Boot

Company is growing its Software Engineering team to deliver large-scale enterprise systems and digital platforms for financial institutions across Southeast Asia. As a Java Software Engineer, you will design, develop, and maintain backend services that power critical business processes, data integration, and mobile applications. You'll work in a modern, modular architecture combining mature systems with innovative new services - ensuring both stability and agility. This role offers the opportunity to work closely with international teams, participate in architectural discussions, and contribute to best practices that shape Company's technology standards. Design, develop, and maintain scalable backend applications using Java and Spring Boot. Build new services and enhance existing ones to support evolving business requirements. Ensure code quality through unit testing, debugging, and performance optimization. Contribute to design and architecture discussions, balancing technical depth with business value. Collaborate with cross-functional teams (QA, DevOps, Analysts, Product Owners) across Vietnam and Czech Republic. Participate in code reviews and enforce development standards and documentation quality. Support release planning, deployment, and post-production analysis. Mentor junior engineers and contribute to internal knowledge-sharing initiatives. Stay current with emerging technologies, microservice design patterns, and cloud-native practices. Promote automation, CI/CD, and DevOps principles to improve development efficiency. Proactively identify technical debt and propose refactoring or optimization strategies.

Negotiation

View details

Senior Software Engineer (Data Management, Data Lake)

Ho Chi Minh - Viet Nam


Product

  • Data Engineering
  • Cloud
  • Java
  • Typescript
  • Angular

We are looking for a seasoned Senior Data and Full-Stack Engineer to join our team. In this role, you will not only design and build high-performance, resilient data architectures but also craft scalable solutions that integrate seamlessly with microservice-based application ecosystems. Your expertise will span across data engineering and full-stack development, enabling you to deliver end-to-end solutions that power our platform. You will own critical design deliverables-both high and low level-including ERDs, logical and physical models, and architectural reviews. Beyond architecture, you will actively contribute to building robust services and APIs that leverage data for automation, customer experience optimization, and innovative product development. As Company continues to grow and data volumes surge, your ability to harness this data and translate it into actionable insights and advanced solutions will be pivotal to our success.#Your key responsibilities as a Senior Data & Full-stack Developer will include: Drive and design future-proof data architectures, strategically aligning data systems with business objectives to ensure efficient and scalable data management. Architecting conceptual, logical, and physical architecture and data models for operational enterprise data and analytics solutions using recognised data modelling approaches Collaboration with project teams to ensure architectural principles are met, and build and act as a change agent Build container-based big data architectures on top of Kubernetes Design and implement large and complex data solutions (Data Warehouse, Data Lake, Data Analytics) using various architectural patterns such as microservices Develop and understand the enterprise data landscape and map data stores and flows between the operational systems for our microservice approach Implementing the feature with high-performance, scalable, and testable components for our architecture and execute its development. Developing and deploying modern architectural patterns/techniques (microservices, DDD, TDD), including developing using modern frameworks, e.g. Spring Boot, Spring Cloud Developing and deploying modern frontend microservices, enrich DM Storybook using the latest Angular version. Develop RESTful APIs and microservices-based solutions leveraging containers (AKS, Kubernetes, Docker) technologies#General Create robust data architecture to manage data efficiently and effectively Define the data strategy and the key principles associated with it Develop and understand the enterprise data landscape and map data stores and -flows between the operational systems for our micro-service approach The role is varied and there are opportunities to become involved in activities across all parts of the business

Negotiation

View details

Project Manager

Ho Chi Minh - Viet Nam


Product, AI Application Platform

  • Project Management
  • Account Management
  • AI

Drive customer success by strategically managing relationships, acting as a key advocate, and aligning our product capabilities with customer goals while proactively addressing project risks. Stay updated on AI innovation by participating in the design of AI systems for industrial applications and keeping up with the latest trends in AI, machine learning, and data analytics. Foster customer collaboration to clearly define problem statements, develop impactful solutions, translate needs into actionable tasks, and oversee project lifecycles, including roadmap planning, execution, and quality assurance. Lead and collaborate with cross-functional technical teams to efficiently develop and deliver solutions within specified timelines. Provide customers with tailored technical solutions and training to enhance the impact and value of the solutions offered.

Negotiation

View details