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Serdao

14 Phan Ton, TP Hồ Chí Minh

Company Size : 25-99

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Job Summary

  • 25-99
  • Outsourcing
  • Việt Nam

Senior Data Consultant

Serdao

  • Quận 1, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Experienced (Non-Manager)
1
1

  •  Posted:03/07/2026

  • Expired
Senior Data Consultant
Expired
Technical Skill: JavaScript , Python , TypeScript , Machine Learning , PostgreSQL , MySQL , Selenium , MongoDB , API , NoSQL , AWS Lambda , Jenkins , Paypal , RabbitMQ , Nginx , Docker , Redis , Scala , AWS Redshift , MS Azure , DevOps , Apache , PySpark , AWS , Amazon EMR , Amazon S3 , Amazon EC2 , Azure Data Factory , GCP , Pandas , scikit-learn , Tensorflow , PyTorch , SonarQube , Celery , CI/CD , Fintech , Computer Vision , CNN , NLP , BeautifulSoup , Stripe , SSO

Job description

Overview of job

We are looking for a Senior Data Consultant with 7+ years of experience spanning data engineering, machine learning, and cloud computing to design, build, and scale data platforms for our global clients. The ideal candidate has a strong track record of architecting ETL pipelines, deploying predictive models, and leading cross-functional delivery in pharmaceutical, fintech, SaaS, and enterprise domains. This role combines hands-on data engineering, ML application, and team leadership within an agile delivery model.

Key Responsibilities

•     Architect, engineer, and optimize scalable ETL pipelines across structured and unstructured data sources.

•     Design and deliver big data processing workflows using PySpark, Scala, and AWS EMR for large-scale analytics.

•     Build and maintain data integration workflows using Azure Data Factory, AWS Glue, and equivalent orchestration tools.

•     Develop and deploy predictive models and machine learning solutions using Scikit-learn, TensorFlow, and PyTorch.

•     Design and validate reinforcement learning pipelines for sequential decision-making and AI-driven systems.

•     Build and operate data warehouse and analytical store solutions on AWS Redshift, MongoDB, PostgreSQL, MySQL, and S3.

•     Develop backend services and RESTful APIs using Python frameworks (Flask, Django, FastAPI) and Node.js.

•     Implement DevOps best practices using Docker, Jenkins, SonarQube, Celery, RabbitMQ, and CI/CD pipelines.

•     Lead code reviews, mentor junior engineers, and facilitate Proof of Concept (POC) sessions with clients.

•     Coordinate directly with clients and stakeholders to translate complex requirements into data-driven, production-ready systems.

•     Working time:              Monday to Friday, 14:00-23:00

•     Start date:                   ASAP

•     Engagement:               Long-term

•     Language:                   English professional mandatory

•     Join a French tech company in Vietnam, combining European standards with local agility 

•     Work in a truly international environment, with 13+ nationalities collaborating daily 

•     Contribute to projects serving clients in 32 countries worldwide 

•     Be part of long term, meaningful SaaS projects with real business impact 

•     Grow your skills through mentoring, code reviews, and collaboration with experienced teams 

•     Enjoy a professional, supportive, and people focused work culture 

•     Visa, resident card, and work permit provided for expat profiles working in Vietnam

Job Requirement

•     7+ years of professional experience in data engineering, with hands-on exposure to machine learning and cloud platforms.

•     Expert-level proficiency in Python; working knowledge of JavaScript, Shell, Scala, and TypeScript.

•     Strong experience with PySpark and Scala for distributed data processing on AWS EMR or equivalent platforms.

•     Hands-on expertise with AWS services: EMR, Lambda, S3, Redshift, EC2.

•     Experience with Azure Data Factory and additional exposure to GCP services.

•     Proficiency with relational and NoSQL databases: PostgreSQL, MySQL, MongoDB, Redis.

•     Solid background in machine learning and data science libraries: Pandas, Scikit-learn, TensorFlow, PyTorch.

•     Experience deploying production applications using Gunicorn, Apache, or NGINX.

•     Strong working knowledge of DevOps tooling: Docker, Jenkins, SonarQube, Celery, RabbitMQ, CI/CD.

•     Excellent communication, mentorship, and stakeholder management skills.

Preferred Qualifications

•     Experience in pharmaceutical, healthcare, or fintech data platforms.

•     Hands-on experience with computer vision frameworks such as YOLOv5 and CNN-based models.

•     Exposure to NLP, recommendation systems, or reinforcement learning in production.

•     Experience with web automation, scraping, and bot frameworks (Selenium, Beautiful Soup) for data acquisition.

•     Familiarity with payment integrations (Stripe, PayPal), authentication (OKTA, Google SSO), and third-party API ecosystems.

•     Track record of leading distributed agile (Scrum) teams across multiple concurrent projects.

Education

•     Bachelor's degree in Computer Engineering, Computer Science, or a related discipline (required).

•     Advanced degree or relevant cloud/data certifications (AWS, Azure, GCP) considered a plus.

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • JavaScript
  • Python
  • TypeScript
  • Machine Learning
  • PostgreSQL
  • MySQL
  • Selenium
  • MongoDB
  • API
  • NoSQL
  • AWS Lambda
  • Jenkins
  • Paypal
  • RabbitMQ
  • Nginx
  • Docker
  • Redis
  • Scala
  • AWS Redshift
  • MS Azure
  • DevOps
  • Apache
  • PySpark
  • AWS
  • Amazon EMR
  • Amazon S3
  • Amazon EC2
  • Azure Data Factory
  • GCP
  • Pandas
  • scikit-learn
  • Tensorflow
  • PyTorch
  • SonarQube
  • Celery
  • CI/CD
  • Fintech
  • Computer Vision
  • CNN
  • NLP
  • BeautifulSoup
  • Stripe
  • SSO

COMPETENCES

  • Professional Experience
  • Communication Skills
  • Management Skills
  • Scrum
  • Agile

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BUSINESS PROFILE

Serdao is providing tailor-made application development services.

We also provide technical support and user assistance services in the IT field.

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