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

• Works professionally to understand data needed for finance data analytics and be able to design proper data pipeline solution which is measurable and scalable.
• Develop data pipeline on Bigdata platform by the following technology stack: Scala, Golang, Python3, scripting (Bash/Python), Hadoop, etc.
• Ensure delivered data achieve team’s standard quality checklist and always have visibility on it
• Be responsive to work within a deadline.
• Keep catching up on data technology and have up to date data insight with the team

What You’ll Need to Succeed

• Bachelor’s or advance degree in IT/Statistic related field
• More than 3 years of experience in data technology
• Fluent in English and Interpersonal skills
• Experience in ETL tools or data pipeline language such as Python, Scala
• Knowledgeable in using Databases and writing SQL queries.
• Good time management and multitasking skills
• Self-motivation and ability to work well independently as part of the scrum team

It’s Great If You Have

• Experience on data warehouse design
• Experience with ‘Big Data’ technologies / tools Ex. Tensorflow)
• Experience with third-party libraries and APIs
• Experience with automate operation tasks with Shell Script, Python
• Knowledge in business analysis or data modeling
• Hungry to learn new tools, languages and technologies