Data Engineer - Part-Time

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

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Data Engineer"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Chauhan, Asmita
EA Personnel Registration Number: R1980706

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