---

Detail posisi

LINE MAN Wongnai is seeking a Senior or Staff Data Platform Engineer to design and manage scalable and reliable data platforms, with a focus on real-time streaming capabilities. The ideal candidate will collaborate with various teams to drive value for customers and business partners.

Kewajiban

• Collaborate with engineering, product, and data teams to design and develop a real-time data streaming platform that supports the business goals of the company
• Define, implement, and enforce architecture patterns and design principles to ensure that the platform is scalable, high-performance, reliable, and easy to use.
• Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications
• Develop data models and architecture for real-time data processing and end-to-end streaming pipelines.
• Optimize and scale our data platform across multiple data centers using Hadoop based technologies
• Enable and support data engineers to simply and optimize data loading processes by providing abstraction layers and ensuring optimal data infrastructure and reliability..
• Work closely with cross-functional teams, including data scientists, analysts, product managers, and software engineers to drive value for our customers and business partners.
• Manage continuous deployment, monitoring, and maintenance of the data streaming platform in production and testing environments.
• Implement and enforce data governance and security policies and procedures to ensure compliance with regulatory and company standards.
• Mentor and guide junior and senior data engineers and provide technical leadership in data engineering best practices.

Kualifikasi

• Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
• 5+ (Senior) / 8+ (Staff) years of engineering experience
• Strong programming skills (Python and/or Java preferred) and experience with data infrastructure components including Kubernetes and Docker.
• Deep knowledge of distributed computing technologies, e.g. Kafka, Flink, Spark, Hive, Presto, Druid/Imply.
• Ability to consider and negotiate trade-offs of different designs to meet use case requirement

Keuntungan