Data Engineer

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

Responsibilities:

• Degree in Computer Science, Information Technology, Computer Engineering, with 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
• Proven ability to translate business requirements into technical solutions; Strong Knowledge and Hands-on experience with SQL, Python and Apache Spark
• Hands-on experience with Apache Kafka, Airflow, or similar technologies
• Proficiency in Amazon Web Services (AWS) services

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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: Arora, Hardeep

EA Personnel Registration Number: R1111454

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