Data Engineer

nSearch Global; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

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.

Qualifications

• Degree with 3–5 years of experience in data engineering or related discipline.
• Proven experience designing, building, and operating production-grade data pipelines.
• Experience with data extraction, ingestion, ETL/ELT, transformation, modeling, and data quality.
• Familiarity with cloud data capabilities (AWS/Azure) and hybrid environments.
• Experience applying software engineering practices to data solutions.

Responsibilities

• Design, build, and operate production-grade data pipelines (ETL/ELT).
• Integrate data from on-prem systems, APIs, databases, SaaS, files and streams.
• Develop batch, incremental, CDC, streaming, and event-driven ingestions.
• Design and maintain cloud-native and hybrid data stores and data lakes.
• Build trusted datasets and reusable data products for analytics and reporting.

Skills

Data pipeline design

Cloud data engineering

Data modelling

Data quality assurance

CI/CD

Infrastructure as Code

Monitoring

Version control

Testing

Streaming data

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

AWS

Azure

CI/CD tooling

Job description

Our client, one of Asia-Pacific's leading organizations is looking for:

Responsibilities:

• Design, build, and operate production-grade data pipelines for data extraction, ingestion, transformation, and loading (ETL/ELT)
• Integrate data from on-premises systems, enterprise applications, APIs, databases, SaaS platforms, files, streams, cloud services, and other operational data sources
• Develop batch, incremental, change-data-capture, streaming, and event-driven ingestion patterns based on source-system and business requirements
• Design and maintain cloud-native and hybrid data stores, data lakes, and analytical datasets
• Build trusted datasets and reusable data products for applications, dashboards, operational reporting, and analytics

Requirements:

• Degree with 3-5 years of experience in data engineering, cloud data engineering, analytics engineering, software engineering, or a related discipline
• 2 years of hands-on experience designing, building, and operating production-grade data pipelines
• Demonstrated experience with data extraction, ingestion, ETL/ELT, transformation, data modelling, and data quality
• Experience using AWS and/or Azure native data capabilities
• Experience integrating data from APIs, databases, enterprise systems, files, or streaming sources
• Experience implementing batch, incremental, CDC, and/or event-driven data pipelines
• Experience working with on-premises and/or cloud environments, with an understanding of hybrid integration patterns
• Experience applying software-engineering practices such as version control, automated testing, CI/CD, monitoring, and Infrastructure as Code to data solutions

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EA License Number: 10C3636