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← Serdao

Sr Data Consultant Python, Scala, JavaScript, Shell

Serdao · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
IT - Software
Salary
Thương lượng
Location
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Overview

  • 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
  • Your Skills and Experience
  • 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.

Requirements

  • 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.
  • Why You'll Love Working Here
  • 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

Benefits

Healthcare

Summary of facts from the official posting. View original ↗

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