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Data Engineer
Location
Vietnam
Posted
73 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer
qode.world
• 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.
Job 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.
Benefits
- Attractive salary range and we are open to negotiate if you're a strong fit.
- Hybrid/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.
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