Senior Data Engineer/Data Platform Engineer
TP. Hồ Chí Minh
Hạn nộp hồ sơ:
19/11/2026
Về công việc
Trách nhiệm chính
- 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.
Yêu cầu
- 6+ 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.
Thông tin khác
- Airr Labs is headquartered in Singapore and has a technology hub in Vietnam.
- Founded in 2019, the company has grown to more than 350 experts across Thailand, the Philippines, Vietnam, Malaysia, and Singapore.
- Airr Labs partners with global brands including Unilever, Colgate‑Palmolive, Estée Lauder, and Adidas to deliver end‑to‑end digital commerce solutions.
- The role is one of the first dedicated hires in the data platform space, with a scope of 40% Data Architecture, 50% Data Engineering, and 10% Infrastructure Reliability.
- Opportunity to work on cutting‑edge AI technologies that transform how businesses create content in a collaborative, innovative environment with opportunities for professional growth.