Data Engineer - Remote

- Analyze business requirements and translate them into scalable database architecture.
- Design the target cloud-native PostgreSQL environment and lead the full migration.
- Optimize database performance, availability, and reliability.
- Define security, backup, and recovery standards and implement best practices.
- Collaborate with development teams to align application behaviour with database design.

Must-Have Technical Expertise
- 5+ years of data engineering experience, with 2+ years building production orchestration platforms.
- Expert-level Python for data engineering workloads and pipeline development.
- Deep experience with modern orchestration frameworks (Dagster preferred, or Airflow/Prefect).
- Strong SQL skills and experience with dbt for data transformation and modeling.
- Production experience with PostgreSQL, data warehouses, and database optimization.
- Proficiency with AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or similar).

Platform & Integration Skills
- Experience with metadata management and data catalog systems.
- Understanding of REST API design and automated API generation patterns.
- Familiarity with vector databases and embedding pipelines for AI applications.
- Experience with containerization (Docker) and orchestration basics (Kubernetes).
- Strong understanding of data governance, access control, and compliance requirements.

Preferred/Bonus
- Experience with Dagster components, assets, sensors, and resources.
- Knowledge of PostgREST or similar automated API generation tools.
- Experience with document processing pipelines (OCR, parsing, chunking strategies).
- Familiarity with DSPy or LLM integration in data pipelines.
- Experience with cloud data platforms (GCP BigQuery, AWS Redshift, Snowflake).
- Strong Vietnamese and English communication skills."

- Receive 100% salary from the onboarding date.
- Participate in company activities: Team building, travel and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.