Senior Data Engineer – Kafka Expert (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 a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets 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.

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.

The Opportunity

As a Senior Data Pipeline Engineer, you will work on distributed systems spanning multiple data centers, thousands of servers, and hundreds of billions of messages a day. Ensuring data quality, data integrity, and data accuracy is a core part of our identity. Design for new scalable systems which data is increasing day by day, including auditing and monitoring systems. You will have a chance to manage projects with a small team of 1-2 members which improves your ownership and leadership. You will be eager to solve problems that come from managing and making sense of large amounts of data. Some of the things you’ll get to work on include schema registry, real-time data ingestion, cross data center replication, enrichment, storage, and analytics of the data flow.

We are a small passionate team and we are looking for exceptional individuals to be a part of designing, building, deploying (and probably debugging) our Data Pipeline.

In This Role, You’ll Get to

• You will build, administer, and scale data pipelines that process hundreds of billions of messages a day spanning over multiple data centers.
• You will develop and expand upon existing frameworks that are used by Teams throughout Agoda to produce messages to the data pipeline.
• You will build and manage data ingestion into multiple systems (Hadoop, ElasticSearch, other Distributed Systems).
• You will build tools that monitor high data accuracy SLAs for the data pipeline.
• You will explore available new technologies that improve upon our quality of data, processes, and data flow.
• You will develop quality software through design review, code reviews, and test-driven development.

What You’ll Need To Succeed

• Bachelor’s degree in Computer Science / Information Systems / Computer Engineering or related field.
• 4 plus years of industry experience, preferred at a tech company.
• Good knowledge of data architecture principles.
• Have operational experience debugging production issues.
• An experienced coder, who can stand your ground with experience building systems with purpose that are flexible, well-tested, maintainable, and scale.
• You’re detail-oriented considering every outcome of a particular decision.
• You can communicate in technical English with fluidity, both verbal and written.
• Know more than one programming language (Golang, Java, Scala, Python, C#, etc.).
• Good understanding of how Kafka works.
• Kafka Administrator Experience.
• Experience with data ingestion from Kafka into Hadoop, ElasticSearch, and other Distributed Systems.
• Strong systems administration skills in Linux.
• Worked on or contributed to Open Source Project.

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.