Our client is a TravelTech company that builds and deploy cutting-edge technology, connecting travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, they have 4,000+ employees representing 90+ nationalities to foster a work environment rich in diversity, creativity, and collaboration. They pride themselves on innovating through a culture of experimentation and ownership, enhancing the ability for their customers to experience the world.

Relocation support will be provided for you and your family to help you settle into the new environment.

Get to Know The Team:  

The Data department oversees all of the company’s data-related requirements. Their 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. The company hires 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 is critical as business users, product managers, engineers, and many others rely on them to empower their decision making. The company is also equally dedicated to their 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. This is what drives up the challenge as part of the Data department, but also the reward. 

In this Role, you’ll get to: 

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing data systems 
• Debug , Patch, Contribute, and Administer open source software like Hadoop Ecosystem Projects, Spark, Trino, S3 compatible Object Storage, Docker 
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality 
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks 

What you’ll Need to Succeed: 

• Bachelor’s degree in Computer Science /Information Systems/Engineering/related field
• Expert level understanding of JVM and either Java or Scala
• 5 year’s experience administering Big Data technologies/tools/clusters at scale
• Expert level understanding of the following technical stack: HDFS, YARN, Oozie, Spark, MPP SQL engines like Impala or Trino
• Good understanding of the following technologies: Object Storage, Kerberos, Kubernetes
• Experience debugging and resolving production issues from large Data Lake Deployments
• Good understanding of the Linux Kernel with advance Linux systems administration skills

It’s great if you have: 

• Experience working on hybrid Cloud Big Data Architectures 
• Administrative experience for data lakes spanning multiple on-premise data center a plus 
• Worked on Data Lake clusters with at least tens of PB scale or more