Job Details
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Data Engineer-II:
Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.
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 focused 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.
What you'll do :Proactively teams up with peers across the organization to build an understanding of cross dependencies and shared problem solving.
Continually seeks new technical skills in an engineering area.
Shares new skills and knowledge with team to increase effectiveness.
Exhibits comfort working with several forms of technology.
Understands the relationship between applications, databases and technology platforms.
Demonstrates knowledge of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Develops and tests complex or non-routine software applications and related programs and procedures to ensure they meet design requirements.
Effectively applies knowledge of databases and database design principles to solve data requirements.
Understands software frameworks and how to leverage them to write simpler code.
Thinks holistically to identify opportunities around policies/ processes to increase efficiency across organisational boundaries.
Recommends advancements, innovations and changes in technologies (specifically relating to data engineering, cloud data platforms, data models, enterprise information management, business intelligence and data science).
You have a master's degree or Ph.D. in Computer Science, Engineering, or related technical field; or equivalent related professional experience
Preferred: You have 3+ years of Data pipelining experience and 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.
Experience with continuous delivery, automated deployments, and related engineering practices.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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.