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

Bangkok, Thailand

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 a rapidly expanding industry with endless opportunities for growth and innovation. At Agoda, we are proud to be at the forefront of this exciting field, working closely with our finance business team and product owners to reduce risk, increase efficiency, and seize new market opportunities. Our fintech projects are diverse and varied, ranging from traditional finance to cutting-edge customer-facing solutions. Whether using big data technologies for reconciliation, expanding and enhancing payment options for our customers, or developing lightning-fast tax calculation systems, we are constantly pushing the boundaries of what’s possible in fintech. With a talented team of data and backend engineers, we are well-equipped to tackle any challenge that comes our way. Agoda is the perfect place for you if you’re passionate about fintech and looking to make a real impact in this dynamic industry.

The Opportunity 

We are seeking highly skilled engineers with a range of experience in fintech to join our team. Whether you are a seasoned expert or just starting out in the field, we welcome your application. We are looking for intelligent and agile engineers with strong attention to detail and the ability to work on both back-end and data engineering tasks. If you have a passion for fintech technology and are excited about the opportunity to build and innovate, we would love to hear from you. We value a wide range of experience and backgrounds and encourage all qualified candidates to apply.

In this Role, you will get to

• Think and own the full life cycle of our products, not just a single piece of code – from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring 
• Design, develop and maintain platforms and data pipelines across fintech 
• Improve scalability, stability, and efficiency of our existing systems 
• Write great code and help others write great code – mentor people in your team and the wider organisation
• Collaborate with other teams and departments
• Help us hire extraordinary talent such as yourself!

What You’ll need to Succeed

• Minimum 7 years of experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, C# or Kotlin 
• Experience with data tooling: Spark, Kafka, Workflow Orchestration Tools
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. In depth knowledge of Model and Design of DB schemas for read and write performance.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with Scrum in Agile Cross-functional teams.
• Excellent verbal and written English communication skills

It’s great if you have

• Deep experience with spark based distributed data pipelines. Able to deep dive and solve challenges in spark query plans and optimize code. Experience in Spark streaming is a plus
• Strong experience building finance stack applications including ledgers, revenue recognition, monetary transfers and reconciliations, financial accounting platforms etc.
• Experience handling financial data risk management and data governance projects. 
• Experience supporting internal and external financial audits
• Experience with data profiling, data lineage, data cataloging to enhance data governance and documentation
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved
• Experience with building data pipelines to integrate 3rd parties is plus.

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