Data Engineer: Scalable Pipelines & AI Analytics
A Data Engineer at NCS in Singapore designs and maintains scalable data pipelines and ETL/ELT processes on cloud data platforms, integrating diverse data sources to ensure high-quality data for analytics and ML, using tools such as Talend, PySpark, and Databricks.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Design and maintain scalable data pipelines
- Integrate diverse data sources and ensure high-quality data for analytics and ML
- Implement ETL/ELT processes
- Work with cloud-based data platforms
- Experience with Talend
- Experience with PySpark
- Experience with Databricks
- Collaborate with analytics, product, and infrastructure teams
- Apply data governance and reliability principles
Full description
Data Engineer at NCS in Singapore will design and maintain scalable data pipelines, integrating diverse data sources and ensuring high-quality data for analytics and ML tasks. You will work with analytics, product, and infrastructure teams to advance our data platform with governance and reliability as core principles.
The role involves implementing ETL/ELT processes, collaborating on cloud-based data platforms, and leveraging tools like Talend, PySpark, and Databricks to deliver robust data