Kubernetes Administrator - DevOps Team (Bangkok-Based, Relocation Provided)

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We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Get to Know Our Team

The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

Why Agoda Hadoop Apps Team?
Joining this team, you will be solving some of the most difficult challenges out there today for the Hadoop ecosystem. We focus largely on building user tools and applications for other teams to use, most of these are built on top of Yarn utilizing Apache Spark as well as other cutting edge technologies.
We are also the engine that drives a fully functional world class data warehouse on top of Hadoop, this means providing tools to define data cubes and syncing high load of data from a processing Hadoop to other systems using in-house built Applications.

In this Role, you will get to

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data Platform 
• Build, administer and scale Data Platform 
• Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, java, Python, scripting (Bash/Python) etc. 
• Work with experienced engineers to identify and build tools to automate many large-scale data platform management 

What You’ll need to Succeed 

• Bachelor’s degree in Computer Science /Information Systems/Engineering/related field 
• 6+ years of experience in Data Platform Administration
• 6+ years of experience in Kubernetes Administration 
• Familiarity with on-premise platform
• Good experience in Apache Spark performance tuning and debugging 
• Good level understanding of JVM and either Java or Scala 
• Experience in WorkFlow Scheduler eg. KubeFlow, AirFlow, Oozie etc. 
• SQL experience eg. SparkSql, Impala, BigQuery, Presto/Trino, StarRocks etc. 
• Experience debugging and reasoning about production issues is desirable 
• Analytical problem-solving capabilities & experience. 
• Systems administration skills in Linux 

It’s great if you have 

• Experience working with Open-source products 
• Python/Shell scripting skills 
• Working in an agile environment using test driven methodologies 

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