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Senior DevOps Engineer (Bangkok-Based, Relocation Provided)
Koolsoft E-learning
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Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
06/12/2024
Hạn nộp hồ sơ:
05/01/2025
Hình thức:
FULL_TIME
Kinh nghiệm:
2 - 3 năm
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
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, totalling 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
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 .
To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
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, totalling 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
- 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 eg. KubeFlow, AirFlow, Oozie etc.
- SQL experience eg. 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
- 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 .
To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
Khu vực
Koolsoft E-learning
Xem trang công ty
Quy mô:
25 - 100 nhân viên
Địa điểm:
Tầng 3, Lô NT KĐT Phùng Khoang, Phường Trung Văn, Nam Từ Liêm, Hà Nội
CÔNG TY CỔ PHẦN ĐẦU TƯ VÀ PHÁT TRIỂN KOOLSOFT là công ty phần mềm chuyên phát triển các ứng dụng di động trên hầu hết các platform và các thiết bị khác nhau. Phát triển, cung cấp ứng dụng cho iPhone, iPad, Android, Windows Mobile là thế mạnh của chúng tôi. Chúng tôi là nhà cung cấp giải pháp elearning toàn diện giúp các doanh nghiệp, trung tâm đào tạo tối ưu nguồn lực, vận hành hiệu quả, tăng trưởng đột phá. Chúng tôi xây dựng đội ngũ giàu kinh nghiệm, am hiểu sâu rộng về lĩnh vực ứng dụng di động để có thể tư vấn, phát triển, triển khai và cung cấp các ứng dụng trên nền tảng di động với chất lượng chuyên môn cao.
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