Senior BI Developer (Web analytics domain) - Bangkok based, relocation provided

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Get to Know Our Team

The Data department oversees all Agoda’s data-related requirements. Our 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 BI Developer, you are expected to collaborate closely with product managers, UXUI designers, data scientists, and engineers to understand and consolidate users’ analytical needs, and to build and deliver platform features and solutions that enable better analysis and data insights.

In This Role, You’ll Get to

  • Learn and master our internal analytics tool to identify and contribute to improvements in scalability, stability, and accuracy.
  • Design, build, test, and deploy new libraries, frameworks, or full systems for our core products, maintaining the highest standards of code quality and testing.
  • Write optimized, complex queries on large datasets to ensure fast results and efficient server resource usage.
  • Work with experienced engineers, product owners, UXUI designers, and stakeholders to help identify and build feasibility analytics tools.
  • Design and implement data pipelines to collect, process, and deliver data solutions for business needs, while ensuring data pipeline performance and reliability.
  • Own the end-to-end internal analytics tool and collaborate with engineers, product owners, and stakeholders in an agile environment.
  • Maintain and monitor data quality and consistency, ensuring data is clean, accurate, reusable, and valuable for stakeholders.
  • Develop, maintain, standardize, and continuously improve platform documentation.

What You’ll need to Succeed:

  • Bachelor’s degree in engineering, Computer Science, or related fields
  • 3-5 years of software development experience
  • Proficiency in Python language
  • A good understanding of REST APIs and web development concepts
  • Experience with Git and Version Control
  • SQL experience and the ability to write complex queries on big data sets
  • Good written and verbal English communication skills.
  • Quick learner with problem-solving aptitude
  • A self-motivated, ability to work well independently and as part of a team
  • Willingness to learn new technologies

It’s great if you have:

  • Experience with modern frontend frameworks (React, TypeScript)
  • Good understanding of Python web frameworks (FastAPI, Flask, Django)
  • Experience with large scale data platforms (Hadoop, Impala, Spark, Vertica)
  • Good understanding of Data warehouse design and ETL tools
  • Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform
  • Analytics, business intelligence, or data visualization experience

#Bangkok #Thailand

Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover more about working at Agoda

  • Agoda Careers
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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.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Preferred First Name optional
  • LinkedIn Profile
  • In which country/region are you currently based? choose one
  • How did you hear about this job? choose one
  • Have you read our Engineering blog? (https://medium.com/agoda-engineering) choose one
  • Do you as a candidate have a personal relationship with a current Agoda employee? choose one
  • If yes, please indicate how you know the employee? choose one · optional
  • What is the employee’s name? optional
  • We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. choose one
  • To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? choose one
  • Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? choose one
  • Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. choose one
  • Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. choose one
  • Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters choose one
  • This position is based in Bangkok, Thailand, and Agoda will provide relocation assistance for you and your family. Please select one of the following options: choose one
  • What is your overall years of relevant experience? choose one
  • What is your highest academic level? choose one
  • Do you have hands-on experience with Hadoop? choose one
  • Which Big Data technologies you are most familiar with? (Please list top 3)

See also

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