Staff Data Engineer - Agoda

About Agoda Agoda is an online travel booking platform for accommodations flights and more. We build and deploy cuttingedge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings our 6000 employees representing 90 nationalities foster a work environment rich in diversity creativity and collaboration. We innovate through a culture of experimentation and ownershipenhancing the ability for our customers to experience the world. About Agoda Agoda is an online travel booking platform for accommodation flights and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings our 4000 talents coming from 90 different nationalities foster a work environment rich in diversity creativity and collaboration. We innovate through a culture of experimentation and ownership enabling our customers to experience the world Get to Know Our Team The Data department oversees all of Agodas datarelated 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 companys 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 Data Applications Team Our Data Engineering teams are at the intersection of business analytics data warehousing and software engineering. Our job involves dealing with distributed systems stream processing computation and data governance at tens of PB Scale. We focus on software engineering related to data replication storage centralized computation and Data APIs. By providing our users with data products/tools shared frameworks and data services we enable our company to validate strategic decisions make smarter choices and react to the fastchanging world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role you will get to * Lead the team technically in improving scalability stability accuracy speed and efficiency of our existing Data systems Build administer and scale data processing pipelines Be comfortable navigating the following technology stack: Scala Spark java Golang Python3 scripting (Bash/Python) Hadoop SQL S3 etc Improve scalability stability accuracy speed and efficiency of our existing data systems 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 largescale data management / analysis tasks

• Lead the team technically in improving scalability stability accuracy speed and efficiency of our existing Data systems
• Build administer and scale data processing pipelines
• Be comfortable navigating the following technology stack: Scala Spark java Golang Python3 scripting (Bash/Python) Hadoop SQL S3 etc
• Improve scalability stability accuracy speed and efficiency of our existing data systems
• 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 largescale data management / analysis tasks