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Data Engineer- III

India - Gurgaon

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Senior Data Engineer

Are you a Senior Data Engineer who wants to work for a strong and creative online travel technology company? Do you have a passion for creating platforms turning data into meaningful information? Do you want to work with the latest Data technologies in the Data and AI ecosystem? If any of those are true…Expedia is looking for YOU!

The Data and AI Platform Engineering Group at Expedia is looking for an expert, highly motivated, disciplined Data Engineer who can make an impact in creating a robust and scalable data platform. Group is focussed towards providing solutions for stream, batch and ML compute platforms. Our mission is to provide services and solutions that helps Expedia build reliable, cost-transparent and optimized products and data platforms.

It provides a unique opportunity to create innovations and ground-breaking change using cloud and big data technologies. You will be able to incubate and experiment newer technologies and platforms to demonstrate value of the data and enable data consumptions at scale with agility.  Bring passion and dedication to your job and there's no telling what you could accomplish.

What You'll Do :

  • You will work with the engineering teams to evaluate and design resilient, scalable, and highly available solutions for data platforms (Batch, Stream, AI & ML).

  • You will dive deep into the platform architecture to understand current engineering gaps and opportunities to evolve our technology stack.

  • You will develop cloud-native solutions to continuously harden our platform and cloud infrastructures at scale.

  • Contribute to the overall technical vision and strategy for the products built by our team.

  • Collaborate with other software engineers, machine learning experts, and stakeholders, taking learning and leadership opportunities that will arise every single day.

  • Collaborate with and chip in to open source communities, both internally and externally.

Who You Are:

  • 4+ years of industry experience in software development, data engineering or data science.

  • Skilled coder with experience in high level programming languages such as Java, Scala, or Python.

  • Proficiency in data processing using technologies like Spark, Spark Streaming, Spark SQL, or Map/Reduce.

  • Building robust and scalable data pipelines using a range of tools and programming languages.

  • Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP.

  • Aptitude to independently learn new technologies and create solutions around them.

  • Ability to handle large, complex problems in a rapidly changing environment and rallying the teams to solve it.

  • Experience with continuous delivery, automated deployments, and related engineering practices.

  • Experience with data science and machine learning is a plus.

About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.  

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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R-58818

Job Category
Technology Group

Job Function
Development

Locations
India - Gurgaon
India - Bangalore

Job Type
Full-Time Regular

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