Staff Software Engineer - Data Platform Team (Bangkok based, relocation provided)

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

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.

Why Agoda Data Core Apps Team?
Our systems scale across multiple data centers, totaling a few million writes per second and managing tens of petabytes of data. We deal with problems from real-time data-ingestion, replication, enrichment, storage and analytics. We are not just using Big Data technologies; we are pushing them to the edge.

Join us in the team to build first class big data tool to helping thousand of users to working with big data system everyday, including but not limited to:

• Spark runtime/utils
• Data exchange system
• ETL tools
• Data linage system
• Data quality system
• And many more

In This Role, You Will Get To:

• Be comfortable navigating the following technology stack: Scala, Spark, Python, Hadoop, Kubeflow, 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

• 8+ years of experience in software and data engineering
• Expert level understanding of 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:

• Experience working with Data Infrastructure or Data Platform team
• Experience working with Open-source products
• Experience working with big data ecosystems

#telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 #LI-Hybrid