Data Engineer III

1 Month ago • 7 Years + • Data Analysis

Job Summary

Job Description

Expedia Group seeks a Data Engineer III to join its Marketing Data Engineering team, focusing on accelerating data and AI capabilities. The role involves designing, building, and supporting scalable data solutions using cloud technologies, developing high-performance distributed systems, and optimizing data processing applications. Responsibilities include implementing data quality and governance practices, maintaining documentation, supporting global data needs, and collaborating with product and business teams. The ideal candidate will promote good development methodologies and provide support to team members.
Must have:
  • Bachelor's or Master's degree in Computer Science or related field
  • 7+ years of experience in Big Data/distributed compute projects
  • Experience with Spark and Kafka Streams
  • Strong understanding of data structures, data modeling, data warehousing
  • Proficiency in Java or Scala
  • Proficiency in SQL
  • Experience with real-time data processing
  • Proficiency in NoSQL databases (Cassandra, DynamoDB)
  • Experience in cloud environments (AWS)
  • Strong problem-solving skills
  • Strong communication skills
Good to have:
  • Python knowledge
  • Experience with SSAS/Tableau/PowerBI/Looker
  • 3-4 years of experience in machine learning/data science/Generative AI
  • Exposure to ML-powered data pipelines
  • Understanding of feature engineering and model deployment
Perks:
  • Travel perks
  • Generous time-off
  • Parental leave
  • Flexible work model
  • Career development resources

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 flexible work model (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 or Master’s degree in Computer Science Engineering or a related field.

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

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

  • Strong understanding of data structures, data modeling, data warehousing best practices and software architecture.

  • Strong proficiency in Java or Scala. Having Python knowledge is a plus.

  • Strong proficiency in SQL for data querying, transformation, and optimization

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

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

  • Sound experience in cloud environment, preferably AWS.

  • Strong visualization experience with tools like SSAS/Tableau/PowerBI/Looker or similar BI tools.

  • 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 like Generative AI.

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

  • Understanding of feature engineering and model deployment in production environments.

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

#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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About The Company

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®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.For more information, visit.

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