Senior Data DevOps Engineer (Bangkok-Based, Relocation Provided)

Agoda; Palermo; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

An established industry player in online travel booking seeks a skilled Data DevOps Engineer to enhance their cutting-edge Data Platform. In this role, you will tackle challenges related to scalability and efficiency while working with a diverse technology stack that includes Kubernetes, Spark, and SQL. Join a dynamic team that values innovation and collaboration, where your contributions will directly impact the travel experience for millions. If you thrive in a fast-paced environment and are passionate about data-driven solutions, this opportunity is perfect for you.

Competenze

• 2+ years of experience in Kubernetes Administration.
• Good experience in Apache Spark performance tuning and debugging.
• Familiarity with on-premise platforms and workflow schedulers.

Mansioni

• Improve scalability, stability, accuracy, speed, and efficiency of Data Platform.
• Build, administer, and scale Data Platform.
• Work with engineers to automate large-scale data platform management.

Conoscenze

Kubernetes Administration

Apache Spark performance tuning

Analytical problem-solving

Systems administration skills in Linux

SQL experience

Python/Shell scripting

Formazione

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Systems

Bachelor’s degree in Engineering

Strumenti

S3

Kubernetes

KubeFlow

Spark

SQL

Impala

Scala

Java

Descrizione del lavoro

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.

Why Agoda Data DevOps 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 that handles our Data Lake, a crucial platform that serves a wide range of business critical needs and applications from being used to train ML models for user-facing applications, to enabling reporting and monitoring, to empowering Product Owners to do research and experimentation hypothesis. The data lake is the very heart of our data-driven culture and spans hundreds of servers across multiple data centers at tens of PB scale.

In this Role, you will get to

• Improve scalability, stability, accuracy, speed and efficiency of our existing Data Platform
• Build, administer, and scale Data Platform
• Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, Java, Python, scripting (Bash/Python) etc.
• Work with experienced engineers to identify and build tools to automate many large-scale data platform management
  
  

What You’ll Need To Succeed

• Bachelor’s degree in Computer Science / Information Systems / Engineering / related field
• 2+ years of experience in Kubernetes Administration
• Familiarity with on-premise platform
• Good experience in Apache Spark performance tuning and debugging
• Good level understanding of JVM and either Java or Scala
• Experience in WorkFlow Scheduler e.g. KubeFlow, AirFlow, Oozie etc.
• SQL experience e.g. SparkSql, Impala, BigQuery, Presto/Trino, StarRocks etc.
• Experience debugging and reasoning about production issues is desirable
• Analytical problem-solving capabilities & experience.
• Systems administration skills in Linux
  
  

It’s great if you have

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

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.