Senior Cloud Data Engineer: ETL, Streaming & Data Lakes

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

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.

Qualifications

• Degree in a technical field with 3-5 years of relevant experience
• Experience designing, building and operating production-grade data pipelines
• Proficiency in data extraction, ingestion, ETL/ELT, transformation, data modelling and data quality
• Experience with AWS and/or Azure native data capabilities
• Experience integrating data from APIs, databases, enterprise systems, files, or streaming sources

Responsibilities

• Design, build, and operate production-grade data pipelines for ETL/ELT
• Integrate data from on-premises systems, enterprise apps, APIs, databases, SaaS platforms, files, streams, cloud services
• Develop batch, incremental, CDC, streaming, and event-driven ingestion patterns
• Design and maintain cloud-native and hybrid data stores, data lakes, and analytical datasets
• Build trusted datasets and reusable data products for apps, dashboards, reporting, and analytics

Skills

Data pipelines design

Cloud data engineering

Data modeling

CI/CD practices

Education

Bachelor's degree in Computer Science or related

Tools

AWS

Azure

Data pipeline tooling

Job 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.