Data Engineer III

India - Bangalore

Expedia Group

Let’s transform travel together.

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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.

Introduction to Team:
We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we’ve built in functional expertise. 

Come and join the mission to accelerate data and AI capabilities across Expedia Group. We are looking for a Data Engineer to join our Marketing Data Engineering team which is responsible for building and maintaining data and software products that unlock opportunities for marketing performance measurements and reporting across channels.
 

In this role, you will:

  • Design, build, and support scalable and durable data solutions that can enable self-service consumption use cases using cloud-based technologies in an agile manner.

  • Develop scalable and highly performant distributed systems focusing on key metrics including availability, monitoring & resiliency.

  • Monitor and optimize the performance of data processing applications, ensuring they meet throughput and latency requirements.

  • Implement data quality checks and data governance practices to maintain data accuracy and consistency.

  • Maintain clear and comprehensive documentation for data pipelines, code, and configurations.

  • Support Expedia Group’s product and business teams’ specific data needs on a global scale. 

  • Close partnership with internal partners from engineering, product, and business 

  • Build bridges between technical teams to enable valuable collaborations. 

  • Promote good development methodologies via code reviews, great software design, brown bags, or tech talks. 

  • Provide support to both internal and external team members where necessary. 

 

Qualifications and experience:

  • Bachelor’s degree in computer science or related technical field or equivalent related professional experience

  • 7+ years of proven experience in Big Data / distributed compute projects

  • Bachelor’s or master’s degree in computer science, Engineering, or related field.

  • Proven experience as a Data Engineer with experience on Spark and Kafka Streams.

  • Strong understanding of data structures, data modeling, and software architecture

  • Strong proficiency in Scala/Spark development.

  • Experience with real-time data processing and building streaming applications.

  • Proficiency in working with NoSQL databases like Cassandra, DynamoDB, or similar.

  • Knowledge of data warehousing concepts and ETL processes.

  • Familiarity with data modeling and data warehousing best practices.

  • Excellent problem-solving skills and the ability to work in a collaborative team environment.

  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

  • 3-4 years of practical experience in machine learning, data science, or a related field.

  • Ability to work across multiple time zones (India, London & US), ensuring seamless collaboration with global teams and stakeholders.

  • Exposure to ML-powered data pipelines for personalization, audience segmentation, or predictive analytics.

  • Understanding of feature engineering and model deployment in production environments

#LI-MF2

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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Architecture Big Data Cassandra Computer Science Data governance Data pipelines Data quality Data Warehousing Distributed Systems DynamoDB Engineering ETL Feature engineering Kafka Machine Learning Model deployment NoSQL Pipelines Scala Spark Streaming

Perks/benefits: Career development Health care Parental leave

Region: Asia/Pacific
Country: India

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