Data Engineer

JOB DESCRIPTION

Work with fellow engineers and data scientists to develop and maintain our core product.
Implement our data pipelines (Java, Elasticsearch, Redis, Apache Beam).
Work on the implementation of new features, leaving things properly implemented, well documented and delivered on time.
Always be on the lookout for opportunities to create and improve. From our development process, up to final user’s experiences. 

JOB REQUIREMENT

Solid skills with Java. Python is a plus.
Solid understanding of databases.
Relevant experience with Google Cloud or AWS.
Superior analytical, conceptual and problem-solving skills.
The ability to learn and iterate quickly.
An obsession with agile and lean principles (GitHub, Trello).
Experience with complex text parsing and web scraping a plus.
Experience with data pipelines or ETL a plus.
Education and Experience 
University degree in computer science or similar education.
Minimum 2 years of experience with focus on backend development.
Strong verbal and written communication skills in English. 

WHAT'S ON OFFER

Internal training by ex-Silicon Valley CTO and award winning AI researcher
Singapore visit 2 times per year
Stipend for technical certification and training 
Career path coaching
Flexible hours
Health insurance
15 days vacation
13 month bonus

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 platform

Technical Skills:

Big Data, Data, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 800 - $ 1,500

Job ID:

J00287

Status:

Close

Related Job:

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam


Product

  • Devops
  • C/C++
  • Python
  • Golang

Develop efficient infrastructure and tools for automating complex software processes. Drive Performance Optimization: Implement advanced test harnesses, benchmarking frameworks, and analytical tools to rigorously characterize and optimize the performance and efficiency of our software and hardware platforms. Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performance systems. Work with engineering teams to understand needs, define requirements, and deliver efficient solutions. Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability. Influence Technical Strategy: Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies.

Negotiation

View details

Software Engineer, Metropolis Vision AI

Ho Chi Minh - Viet Nam


Product

  • C/C++
  • Python
  • AI

Implementing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models. Developing large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. Assisting to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. Profiling GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. Collaborating with partner teams to implement technical builds. Participating in technical reviews and contributing to guidelines for code quality and testing

Negotiation

View details

Senior Software Engineer, Metropolis Vision AI

Ho Chi Minh - Viet Nam


Product

  • C/C++
  • Python
  • AI

Implementing and optimizing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models. Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. Contributing to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations. Participating in technical reviews and contributing to guidelines for code quality and testing.

Negotiation

View details