Đến nội dung chính
Tuyển Dụng
← Serdao

Sr Data Consultant Python, Scala, JavaScript, Shell

Serdao · Hồ Chí Minh
Ứng tuyển tại trang chính thức ↗
Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
CNTT - Phần mềm
Mức lương
Thương lượng
Địa điểm
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • 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.

Yêu cầu

  • 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

Quyền lợi

Chăm sóc sức khỏe

Tóm tắt thông tin từ tin tuyển dụng chính thức. Xem bản gốc ↗

Quan tâm đến vị trí này?

Bạn sẽ được chuyển đến trang ứng tuyển chính thức của nhà tuyển dụng.

Ứng tuyển tại trang chính thức ↗
Đây là doanh nghiệp của bạn? Nhận quản lý trang, yêu cầu chỉnh sửa hoặc gỡ bỏ
→