Senior Data Engineer (AWS & Databricks)

Data Engineer

Location: Vietnam

Workplace Type: Remote

Responsibilities

• Design and build scalable ETL/ELT pipelines using both batch and streaming approaches.
• Develop ingestion workflows from multiple sources such as databases, APIs, and event streams.
• Implement ingestion strategies including full load, incremental load, and CDC.
• Orchestrate data workflows using Apache Airflow.
• Manage data connectors using Airbyte.
• Work with Databricks Lakehouse to build and optimize data processing pipelines.
• Write and optimize complex SQL queries for analytics and transformation.
• Build modular and testable data models using dbt (staging → intermediate → marts).
• Maintain data quality, observability, and reliability across the platform.
• Work with AWS services such as S3, Lambda, EC2, IAM.
• Containerize data services using Docker and Kubernetes (EKS) when needed.
• Document pipelines, data models, and data dictionaries for long-term maintainability.

Requirements

• At least 5 years of experience in Data Engineering.
• Strong understanding of data architectures such as Data Lake, Data Warehouse, and Lakehouse.
• Hands-on experience with ETL/ELT pipelines, including batch and streaming processing.
• Familiar with ingestion patterns: full load, incremental, CDC, event-driven.
• Experience working with Databricks (Delta Live Tables, Jobs, Notebooks).
• Strong skills in PySpark or Spark SQL for large-scale data processing.
• Solid understanding of Delta Lake (ACID, time travel, schema evolution).
• Experience with Apache Airflow (DAGs, scheduling, monitoring).
• Experience with Airbyte or similar ingestion tools.
• Strong SQL skills (CTEs, joins, window functions, query optimization).
• Experience with dbt for transformation, testing, and documentation.
• Hands-on experience with AWS (S3, Lambda, IAM, etc.).

Nice to have

• Experience with Docker, Kubernetes (EKS).
• Experience running Airflow or Airbyte on Kubernetes.
• Familiar with data quality tools such as Great Expectations or Soda.
• Experience with Terraform or Infrastructure as Code.
• Exposure to data governance or catalog tools (e.g., Databricks Catalog).
• Experience with CI/CD pipelines (e.g., GitHub Actions).
• Strong Python skills for automation and pipeline scripting.

Benefit Packages:

• Attractive salary range and we are open to negotiate if you're a strong fit.
• Remote-friendly culture, work where you grow best.
• Flexible hours, async teamwork (we respect your focus time).
• Work equipment support.
• Allowance for Certification & Skill Development.
• Year-end bonus & performance-based rewards.
• 15 paid leaves a year.
• Career growth with personal coaching sessions.
• Open, collaborative team culture - no micromanagement, only trust.
• Tools & AI-powered workflows that make remote work easier.