Data Engineer

About the Role: Our client is looking for a Data Engineer to join their Data Platform team, focusing on building scalable data pipelines and enabling analytics across the organization. In this role, you will work with modern data stack tools like Databricks, AWS, Airflow, Airbyte, and dbt to design and maintain data workflows that support reporting and data-driven decisions.

What You'll Do

• Design and build scalable ETL/ELT pipelines using both batch and streaming approaches.
• Develop ingestion workflows and implement strategies including full load, incremental load, and CDC.
• Orchestrate data workflows using Apache Airflow and manage data connectors using Airbyte.
• Work with Databricks Lakehouse to build and optimize data processing pipelines.
• Write and optimize complex SQL queries and build modular data models using dbt.

What You Bring

• At least 5 years of experience in Data Engineering with a strong understanding of data architectures.
• Strong SQL skills and proficiency in PySpark or Spark SQL for large-scale data processing.
• Experience working with Databricks, Delta Lake, Apache Airflow, Airbyte, and dbt.
• Hands-on experience with AWS (S3, Lambda, IAM, EC2, etc.).
• Bonus: Experience with Docker, Kubernetes (EKS), Terraform, or CI/CD pipelines (GitHub Actions).

Benefits

• Attractive and negotiable salary range with a year-end bonus and performance-based rewards.
• Flexible hours, async teamwork, and 15 paid leaves a year.
• Work equipment support and allowance for Certification & Skill Development.
• 100% remote-friendly culture within Vietnam with open, collaborative, and trust-based management.