A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Islandwide Contract Professional 3 years exp Information Technology $7,000to$10,000
Monthly
5 applicationsPosted 07 Jul 2026Closing on 21 Jul 2026
Roles & Responsibilities Our client, one of Asia-Pacific's leading organizations is looking for:
Data Engineer Responsibilities:
Design and implement scalable data architectures on cloud data platforms with high availability, security, and performance
Lead development of Data Lakehouse solutions
Collaborate with stakeholders to understand requirements and translate them into technical specifications
Build and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks
Optimise data processing workflows for performance, cost-effectiveness, and reliability
Implement automated data quality checks and monitoring systems to ensure data integrity
Design and architect comprehensive cloud-native Data & AI solutions aligned with business objectives and technical requirements
Lead cloud migration strategies and oversee implementation of complex multi-cloud environments
Drive innovation through integration of Data & AI capabilities into HDB's Data & AI platform product architectures
Conduct technical assessments and recommend modernised approaches using cloud native technologies
Maintain architectural documentation
Leverage Cloud Native Services to build and manage data infrastructure
Implement infrastructure as code practices using Terraform
Ensure compliance with security standards and data governance policies
Requirements:
Bachelor's degree in computer science, Information Technology, Computer Engineering, or related field
Minimum 3 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale
Good understanding of cloud computing principles including infrastructure as code, containerisation, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems
Experience with cloud security frameworks, compliance requirements, and risk management
Experience in data domains (e.g. DataOps, Data Lakehouse) and AI/ML Domains (e.g. MLOps, LLMOps)
Strong Knowledge and Hands-on experience with SQL, Python and Apache Spark
Hands-on experience with Apache Kafka, Airflow, or similar technologies•Interested applicants can also email CV at asmita@nsearchglobal.com (for faster processing, please state the exact job / position title applied "Data Engineer" Only shortlisted candidates will be notified.•
EA License Number:
10C3636
EA Personnel Name:
Chauhan, Asmita
EA Personnel Registration Number:
R1980706
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