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 Signal Processing Engineer

Others - Viet Nam

Outsource

  • Python

Design and improve rPPG/TOI pipelines using RGB/IR video with motion/illumination compensation. Implement multi-stage preprocessing, denoising, and quality scoring. Examples: adaptive filtering, ICA/PCA variants, color-space transforms, skin ROI stabilization, signal confidence metrics. o Build cross-device normalization strategies and error-bounded estimators. Define biomarker-level acceptance criteria and failure modes for consumer-grade capture. Partner with iOS and ML teams to integrate algorithms into on-device or hybrid pipelines. Produce technical documentation suitable for regulatory-risk positioning and Apple review support. Benchmark report across device models, skin tones, lighting, and motion conditions. Biomarker feature specification sheet with recommended thresholds and confidence bands. A/B results showing improvements in stability, missingness, and downstream inference performance.

Negotiation

View details

Senior Mobile App Development Engineer

Others - Viet Nam

Outsource

  • iOS

Develop and enhance capture flows using TrueDepth, ARKit, AVFoundation, and CoreMotion. Convert algorithm requirements into reliable on-device data collection and frame synchronization. Create user-friendly quality control interface and capture-state instrumentation, including tasks such as lighting checks, face alignment, motion thresholds, occlusion detection, and retake prompts. Improve latency, thermal behavior, and battery usage for 10-second diagnostic-style capture. Ensure data privacy and compliance with privacy regulations in telemetry. Create technical documentation for the use of specific APIs and data handling for Apple's internal use. Build a modular capture SDK layer with feature flags and logging capabilities. Develop a cross-device performance matrix and tuning guide. Integrate deterministic quality control gates to minimize noisy biomarker outputs in the capture process.

Negotiation

View details

Senior Data Analyst, Anti-spoofing Operation

Ho Chi Minh - Viet Nam

Product

  • Data Analyst

Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization. Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement. Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis. Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems. Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features. Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.

Negotiation

View details