Senior/Lead Data Engineer (Hybrid | Sign-on Bonus)

Location: Ho Chi Minh City or Hanoi, Vietnam
Work Mode: Hybrid

About the Role

We are looking for a Senior/Lead Data Engineer to design, build, and optimize large-scale data systems that power critical business decisions. This role is 75% focused on data engineering (data pipelines, architectures, automation) and 25% supporting data science (ML workflows, advanced analytics).

Youll work with technologies like Python, Airflow, Kubernetes, and AWS to deliver scalable and reliable data solutions.

Key Responsibilities

• Architect, develop, and maintain scalable data infrastructure (data lakes, pipelines, metadata repositories).
  

• Collaborate with data scientists to support data modeling, ML workflows, and experimentation.
  

• Build and optimize large-scale batch and real-time processing systems.
  

• Automate workflows with Python, Apache Airflow, and AWS services.
  

• Manage data storage and compute resources using AWS (S3, Glue, EC2, Lambda).
  

• Implement strong testing and validation procedures to ensure accuracy and reliability.
  

• Stay up to date with best practices and emerging technologies in data engineering and data science.
  

Required Skills

• Bachelors degree in Software Engineering or related field.
  

• Strong experience in Python (pandas, pyspark), Apache Airflow, and AWS services (Glue, S3, EC2, Lambda).
  

• Hands-on with Kubernetes/Docker for containerized environments.
  

• Experience with big data/columnar databases (Athena, Redshift, Hive/Hadoop, Vertica).
  

• Familiarity with Git and CI/CD pipelines (Jenkins, CircleCI, AWS CodePipeline).
  

• Proven ability to design and manage data architectures for large-scale operations.
  

• Experience collaborating with data science teams for feature engineering and ML support.
  

Nice-to-have

• Experience with AWS Sagemaker or Databricks.
  

• Knowledge of RDBMS (MySQL, PostgreSQL) and NoSQL (DynamoDB, Redis).
  

• Familiarity with Kafka, RabbitMQ for event streaming.
  

• Exposure to BI tools (Tableau, Looker, PowerBI).
  

• Experience with monitoring/logging tools (ELK, Datadog).
  

• Understanding of data privacy and security practices.
  

Whats Offered

• Competitive salary + sign-on bonus (for candidates joining within 30 days).
  

• 13th-month salary and performance bonus.
  

• Premium health insurance.
  

• Professional English training courses.
  

• Generous annual leave policy.