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AhaMove

7/28 Thanh Thai, TP Hồ Chí Minh

Company Size : 100-499

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Job Summary

  • 100-499
  • Product
  • Việt Nam

Data Engineer Team Lead

AhaMove

  • Quận 10, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Team Leader/Supervisor
1
1

  •  Posted:01/10/2025

  • Expired
Data Engineer Team Lead
Expired
Technical Skill: Python , R , Data Analysis , Java , JavaScript , Linux , PostgreSQL , MongoDB , Networking , DBMS , OLAP , MS SQL , Hadoop , Github , TypeScript , RabbitMQ , Apache Spark , Scala , DevOps , Golang , Apache Kafka , AWS , Kubernetes , Gitlab , MS Power BI , OLTP , GCP , Apache Airflow , Looker Studio , ClickHouse , Databricks , Google BigQuery , Data Visualization , Metabase , DBT

Job description

Overview of job

You will lead Ahamove’s Data Engineering team, responsible for building and scaling our terabyte-scale data warehouse. Our systems handle nearly 200,000 daily orders across both real-time streaming and batch processing pipelines. Your mission is to ensure the reliability, scalability, and performance of our data infrastructure, empowering:

  • Real-time dashboards for operational visibility
  • Machine Learning services to power intelligent decision-making
  • Robust query experiences for internal teams and external stakeholders

Main Duties:

  • Build, maintain and optimize in-house data infrastructure including database, data warehouse, orchestration system, data streaming and batching pipelines.
  • Work with multiple Cloud Platforms such as GCP, AWS, Databricks.
  • Work with big and complex datasets and multi databases for multiple departments.
  • Create a benchmark, alert, and audit log for the data system to ensure stability and scalability of data and system.
  • Lead data engineer team and responsible for tech-stack and tech-cost of data platforms
  • Communicate with stakeholders including Product Owner, Software Engineers, Business Users, Data Analysts and Machine Learning Engineer to solve data-related problems.
  • Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance
  • Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer)
  • Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain

Job Requirement

  • Bachelor degree in Computer Science or Software Engineer or Information System
  • Specializing in data science or a higher degree is a big plus.
  • At least 06-year-experience in data engineer role and building data platforms and pipelines for analytics.
  • Excellence in Python and one programming language Java, Scala, Go, Javascript, Typescript, R is a big plus.
  • Excellence at SQL in DBMS.
  • Excellence with cloud services such as GCP or AWS.
  • Experience with Hadoop, Spark, Databricks is a big plus.
  • Excellence with various OLTP and OLAP databases and data warehouses: MongoDB, PostgreSQL, BigQuery, ClickHouse, MotherDuck, etc.
  • Excellence with streaming process platforms and streaming concepts such as Redpanda, Kafka, RabbitMQ, CDC or any open-sources.
  • Experience with data pipeline and workflow management tools: Airflow, dbt, Airbyte, etc.
  • Knowledge of data visualization tools like Metabase, PowerBI, Looker Studio, etc.
  • Exposure to emerging open-source or technologies to apply.
  • Excellence with using source version control such as gitlab, github.
  • Experience with Kubernetes or DevOps skills (Linux, Networking) is a big plus.

Languages

    • English

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

Technical Skill

  • Python
  • R
  • Data Analysis
  • Java
  • JavaScript
  • Linux
  • PostgreSQL
  • MongoDB
  • Networking
  • DBMS
  • OLAP
  • MS SQL
  • Hadoop
  • Github
  • TypeScript
  • RabbitMQ
  • Apache Spark
  • Scala
  • DevOps
  • Golang
  • Apache Kafka
  • AWS
  • Kubernetes
  • Gitlab
  • MS Power BI
  • OLTP
  • GCP
  • Apache Airflow
  • Looker Studio
  • ClickHouse
  • Databricks
  • Google BigQuery
  • Data Visualization
  • Metabase
  • DBT

COMPETENCES

  • Team Leadership
  • Analytic Skills

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BUSINESS PROFILE

AhaMove is a great application for delivery in Vietnam.

AhaMove is an app that allows shippers to hire hundreds of shippers right away and help shippers earn extra income with attractive fees and bonus policies. AhaMove is currently leading in the field of urban delivery in Ho Chi Minh City and Hanoi.

AhaMove is a member company of Scommerce - a leading transportation group in Vietnam, with the ability to deliver goods between 63 provinces and cities and a network covering 11,000 communes and wards across the country.

Scommerce's goal is to become the leading O2O (Online to Offline) transport platform in Vietnam, helping buyers and sellers to deliver goods quickly and easily by optimizing technology solutions, transport networks and sources. social force.

With a team of more than 40,000 drivers (15,000 regular drivers), AhaMove is proud to meet the needs of nearly 50,000 customers, including major partners such as The Coffee House, Juno, Tuticare, Heineken, Sendo. , Lazada, Mia, Roasted Chicken OO, Petmart, Le Castella Vietnam, ...

MORE JOBS FROM THIS EMPLOYER

  • 100-499
  • Product
  • Việt Nam

Lead Data Engineer

AhaMove

  • Quận 10, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  Team Leader/Supervisor
1
Posted: 27/11/2025
Skills: Python, PostgreSQL, Big Data, Apache Kafka, AWS, Data Warehouse, Kubernetes, Gitlab, MS Power BI, OLTP, GCP, R, Apache Airflow, Looker Studio, ClickHouse, Databricks, Google BigQuery, DBT, Data Visualization, Metabase, Java, JavaScript, Linux, MongoDB, Networking, DBMS, OLAP, MS SQL, Hadoop, Github, TypeScript, RabbitMQ, Apache Spark, Scala, DevOps, Golang
  • 100-499
  • Product
  • Việt Nam

Machine Learning Engineer

AhaMove

  • Quận 10, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  Experienced (Non-Manager)
1
Posted: 16/10/2025
Skills: Machine Learning, Python, AI (Artificial Intelligence), Regression Testing, MS SQL, Apache Spark, Autonomy, AWS, Deep Learning, GCP, NLP, A/B Testing, Computer Vision, Statistics

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