About the job Senior/Lead Data Engineer
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.