Senior Lead Data Engineer

JOB DESCRIPTION

As the Data Engineer Lead, you will build useful and disruptive products, design and develop company applications, and coordinate a Data development team to deliver quality software technologies and systems. You will provide technical input to product teams and stakeholders to help make business and product decisions and be part of creating great technology products. This is a challenging but rewarding opportunity that will increase your experience in a fast moving product startup company. Join us to disrupt the logistic industry with your skills, abilities and passion for technologies.
Join our Data team which focuses on Deliveree's service quality and business insights.
As a Data Engineer Lead in the team, you will:
Lead our Data Team
Assemble large, complex data sets that meet functional / non-functional business requirements.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Transform Deliveree’s product data into a centralized Data Warehouse.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with Backend, Product, CS, Business, Finance... teams on product logic to provide reports and dashboards.
Work on the development of our enterprise-grade ecosystem of Data Analytics products (pipeline, crawler, analytics, distributed system, and real time fraud checking,...)

JOB REQUIREMENT

At least 5+ years of experience as a data engineer and at least 1 year of experience as a leader
At least 2-3 years experience with object-oriented/object function scripting languages Python
Understanding of Linux
Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience with PostgreSQL, Airflow, AsyncIO is a huge plus.
Experience with big data tools: Hadoop, Spark, Kafka, etc.

WHAT'S ON OFFER

REGIONAL COMPANY
An exciting opportunity to work with the fastest growing international logistics player.
International environment where you can work and learn with coworkers from different southeast asian markets.
Opportunities for onsite trip in our operating markets.
Relocation Package to HCMC if from far city or country.
FOOD & BEVERAGE
Free high quality office lunch buffet or restaurant menu.
All Day Coffee Station Machine with some of the best coffee beans around.
Free Late Dinner Menu from near restaurant.
Free Flow of Coffee and Drinks (Juice, Coke, Sprite, Red Bull)
All Day Free Snack
Every Friday Special Snack & Beers
COOL SPONSORSHIP
Sponsorship for 6 or 12 months Gym (2 floors above) to stay healthy and in shape!
Monthly Mobile Data Allowance
Company Sponsorship for Personal Laptop
BONUSES
New Product Launch Bonus Package
Loyalty Bonus Package
13th Month Salary
HEALTH & LEAVES
Annual Health Checkup
Attractive Healthcare Insurance Package
15 Days Paid Annual Leave
SOCIAL & ENTERTAINMENT
Welcome Deliveree T-Shirt
Welcome Gift Funky Toy (as part of our longest tradition)
Regular Team Social Events
Cool Entertainment Area (Guitar, Video Games, ...)  

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, Logistics & Supply Chain

Technical Skills:

Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 5,000 - $ 6,000

Job ID:

J01096

Status:

Close

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning

Develop and test deep learning models for various wireless signal processing tasks including channel estimation, beam alignment, link adaptation, and scheduling. Utilize simulation tools and real-world datasets to create models that can be applied across different wireless scenarios. Build, train, and assess neural networks (e.g., CNNs, Transformers, GNNs) with PyTorch or TensorFlow. Engage in teamwork with researchers and system engineers to incorporate models into complete RAN systems. Enhance model efficiency for real-time processing and hardware acceleration. Participate in model assessment, performance comparison, and deployment preparation on GPU platforms.

Negotiation

View details

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning
  • Management

Manage and expand an engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Supervise the development of deep learning models for various tasks related to RAN. Work with global teams to drive proof-of-concepts and production-quality AI-RAN components. Supervise the integration of AI models into full-stack simulations and/or testbeds using various frameworks. Align project priorities with hardware-software co-design constraints and deployment scenarios. Provide mentorship and guidance to team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details