← AIRR Labs
Senior Data Engineer/Data Platform Engineer
AIRR Labs · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Từ 38tr
Location
Quận 1, Hồ Chí Minh, Hồ Chí Minh
Overview
- 40% Data Architecture — Partner with product and software engineering teams to design scalable data models, define architecture standards, and ensure clean data flows from source to consumption.
- 50% Data Engineering — Build and optimize ETL/ELT pipelines, write performant SQL and transformation logic, and maintain data quality across TB-scale datasets.
- 10% Infrastructure Reliability — Monitor platform uptime, troubleshoot incidents, and keep our cloud data infrastructure healthy.
- Design and build scalable ETL/ELT pipelines and orchestration workflows.
- Develop and optimize data warehouse architecture, data models, and SQL performance across large-scale datasets.
- Build reliable batch-processing systems and improve platform observability, monitoring, and fault tolerance.
- Define data standards, naming conventions, and best practices for the data platform.
- Collaborate with software engineers and stakeholders to solve complex data and system design challenges.
- Contribute to future AI and automation initiatives such as intelligent inventory management and self-healing data pipelines.
- Your Skills and Experience
- 5+ years of experience in Data Engineering, Data Platform Engineering, or related fields.
- Strong experience building scalable data systems and pipelines from scratch.
- Strong SQL skills and understanding of data modeling, partitioning, and performance optimization.
- Hands-on experience with AWS services such as S3 and Lambda.
- Experience with analytical databases such as SingleStore, Snowflake, BigQuery, ClickHouse, Redshift, or similar.
- Experience with orchestration tools such as Airflow, dbt, or similar technologies.
- Proficiency in Python or another scripting/programming language.
- Strong problem-solving skills with the ability to think in systems and engineering trade-offs.
- High ownership, independent working style, and curiosity toward emerging technologies and AI-enabled workflows.
- Why You'll Love Working Here
Benefits
- Opportunity to work on cutting-edge AI technologies that transform how businesses create content.
- A collaborative, innovative environment with opportunities for professional growth.
Summary of facts from the official posting. View original ↗
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