Data Engineer

• Architect and implement enterprise-scale data platforms in on-premise environments

• Lead technical design decisions for data infrastructure and processing workflows

• Implement and optimize data solutions using Spark, Hadoop, Kafka, and OpenMetadata,…

• Lead DevOps practices and CI/CD pipelines for data platform deployment

• Provide technical mentorship and guidance to the data engineering team

• Collaborate with stakeholders to align technical solutions with business needs

• Troubleshoot complex system issues and implement performance optimizations

REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred

• 4-8+ years of experience in data engineering or software development, with at least 3 years in technical leadership roles

• Proven experience implementing and managing data platforms in on-premise environments. Experience with real-time data processing and streaming architectures.

• Advanced knowledge of Kubernetes architecture, including custom resource definitions, operators, networking, and storage configurations

• In-depth understanding of networking concepts including TCP/IP, load balancing, DNS, and network security for distributed systems

• Strong expertise in DevOps practices including infrastructure as code, configuration management, and container orchestration

• Extensive experience with CI/CD tools and methodologies (Jenkins, GitLab CI, Argo CD, etc.) for automated testing and deployment pipelines

• Comprehensive knowledge of big data technologies including Apache Spark, Hadoop ecosystem, Apache Hive, Apache Hudi and Kafka.

• Strong programming skills in at least one language (Python, Java, or Scala)

• Excellent system design capabilities with focus on scalability, performance, and reliability

• Fluent English communication skills, both written and verbal

Preferred Qualifications

• Experience with cloud-based data platforms (AWS, Azure, GCP) in addition to on-premise implementations

• Kubernetes certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or CKS (Certified Kubernetes Security Specialist)

• Working knowledge of metadata management frameworks like OpenMetadata

BENEFITS

• Attractive compensation package: 14-month salary scheme plus annual bonus and additional allowances

• Annual bonus package tailored based on performance and contribution

• Young, open, and dynamic working environment that promotes innovation and creativity

• Ongoing learning and development with regular professional training and opportunities to enhance both technical and soft skills

• Exposure to cutting-edge technologies and diverse real-world enterprise projects

• Vibrant company culture with regular team-building activities, sports tournaments, arts events, Family Day, and more

• Full compliance with Vietnamese labor laws, plus additional internal perks such as annual company trips, special holidays, and other corporate benefits