Staff Data Engineer (Fintech team) (Bangkok based, relocation provided)

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose – Bridging the World Through Travel

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.

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 4,000+ 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

Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance or cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like vertical credit cards. Its a hot field and the perfect mix of data engineering and backend engineering.

The Opportunity

We are looking for engineers with experience in the fintech area. This can be a year or two at a fintech startup right through to an expert in this domain. You might have a background as ‘ back end ’ or ‘data’ engineer , either way we are looking for smart engineers who can be super agile, move fast and have an eye for detail. We’d love to hear from you if you are skilled in any of the technologies we work with and excited at building new fintech technology.

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 large-scale data management / analysis tasks
  
  

What You’ll Need To Succeed

• Bachelor’s degree in Computer Science /Information Systems/Engineering/related field
• 8+ years of experience in software and data engineering
• Good experience in Apache Spark
• Expert level understanding of JVM and either Java or Scala
• Experience debugging and reasoning about production issues is desirable
• A good understanding of data architecture principles preferred
• Any other experience with Big Data technologies / tools
• SQL experience
• Analytical problem-solving capabilities & experience
• Systems administration skills in Linux
  
  

It’s great if you have

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

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Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.