Cloud Data Engineer: ETL Pipelines & Data Lakes
nSearch Global · Singapore, Singapore ·
- Category
- Data engineering
- Experience
- 3+ years
Design, build, and operate production-grade ETL pipelines and cloud data lakes, ingesting data from on-prem systems, APIs, databases, and streaming sources for analytics. Core stack: AWS/Azure, CI/CD, and infrastructure-as-code.
Unknown is seeking a data engineer to design, build, and operate production-grade data pipelines for diverse ingestion patterns. You will integrate data from on-premise systems, APIs, databases, and streaming sources, while shaping cloud-native and hybrid data stores for analytics.
The role requires 3–5 years in data engineering, hands-on data pipeline experience, and proficiency with AWS/Azure and software engineering practices, including CI/CD and IaC.