Data Engineer - Apache Spark (Java/Scala) (Gurugram based, Relocation provided)
Gurugram
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 more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ employees representing 90+ nationalities 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.
The Opportunity:
Our systems scale across multiple data centres, 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 centres at tens of PB scale.
In this Role, You will
- Build, administer and scale data processing pipelines.
- Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, 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
- Bachelor's degree in Computer Science /Information Systems/Engineering/related field
- 2+ years of experience in Data engineering
- Good experience in 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
Nice to Haves
- Good understanding of Hadoop ecosystems
- Experience working with Open-source products
- Python/Shell scripting skills
- Working in an agile environment using test driven methodologies
#newdelhi #bangalore #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #ENG #IT #4 #LI-ST2
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.
Tags: Agile Big Data Computer Science Data management Engineering Golang Hadoop Linux Machine Learning ML models Pipelines Python Research Scala Spark SQL Testing
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