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Open nowFirst seen 32 hours ago

Senior/Lead Data Engineer

Second Talent182 open roles

Where
Hồ Chí Minh, Ho Chi Minh City, Vietnam
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Your applicationOpen nowSenior/Lead Data EngineerSecond Talent · Hồ Chí Minh, Ho Chi Minh City, Vietnam

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  2. 6.5%3 days
  3. 15.1%7 days
This job: first seen 32 hours ago

The posting

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.
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