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.
What you will need:
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 requirements in the area of distributed and streaming systems
Experience with DevOps practices, CI/CD, and SRE mindset.
Proven track record of designing and evolving scalable high-performance data platforms.
Understanding of data mesh concepts and experience with embedding data engineering skills into product engineering teams.
Ability to design and implement shared libraries and abstraction layers for both software engineers and data consumers.
Excellent written and verbal communication in English (Thai is a plus)
Based in or close to Thailand, or willing to relocate.
What we will give you:
Hybrid remote work between our office at the T-One tower in Bangkok, WeWork locations, and home
Extraordinary place to learn and develop within a fast growing business
Great perks as a baseline, such as staff coupons and pension contributions
Skills
Kubernetes
Apache Kafka
Python
Java
Continuous Integration
Functions
Engineering
Job Overview
Job Type:
Hybrid
Company
LINE MAN Wongnai
148 active jobs
Industry:
Consumer Goods, Retail & E-Commerce
Ready to Apply?
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