Senior Cloud Data Engineer: ETL, Streaming & Data Lakes
Design, build, and operate production-grade ETL/ELT data pipelines, integrating data from APIs, databases, files, and streams into cloud-native data lakes on AWS/Azure. The role applies CDC and streaming patterns with engineering practices like version control, testing, CI/CD, and Infrastructure as Code.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Design, build, and operate production-grade ETL/ELT data pipelines
- Integrate data from APIs, databases, files, and streams
- Work with AWS or Azure cloud platforms
- Implement CDC and streaming patterns
- Build cloud-native storage, data lakes, and reusable data products for analytics
- Apply software-engineering practices: version control, testing, CI/CD
- Use Infrastructure as Code in data solutions
Full description
NSEARCH GLOBAL PTE. LTD. is seeking a Data Engineer to design, build, and operate production-grade data pipelines for ETL/ELT, integrating data from APIs, databases, files, and streams. The role focuses on cloud-native storage, data lakes, and reusable data products for analytics.
You will work with AWS/Azure, implement CDC and streaming patterns, and apply software-engineering practices such as version control, testing, CI/CD, and Infrastructure as Code in data solutions.