Expedia Group | Senior Data Engineer

Job Description

Our team is looking for a high performing and influential individual contributor who leads by example while continuing to mentor junior engineers, interacts consistently with tech leadership in the local organization, and develops complex and vaguely defined projects.

Are you an expert in big data technologies with hands-on development experience? Are you passionate about building world-class data products and platforms that form the foundation of business intelligence and personalisation at EG? Do you have deep expertise in designing, developing, and implementing end-to-end data engineering pipelines using cloud computing technologies to deliver powerful, user-friendly events and data sets? Then we are looking for you!

We are looking for a senior data engineer to be part of our clickstream data engineering group who can help design and build the long-term architecture for the various components of our data engineering function, provide technical leadership to a team dedicated to driving technology innovation for enabling faster and smarter decision making and contribute towards building the world’s most effective travel platform.

You will have the opportunity to participate in various exciting and challenging projects working with foundational, PB-sized data sets. You will ruthlessly innovate and improve our solutions using the latest industry practices. You will also help mentor/coach junior engineers in the team and evangelize engineering best practices across the organisation.

What you’ll do:

• Deliver on lofty goals, consistently shipping platform capabilities, features, and solutions related to providing business insights with speed and quality
• Influence and define the vision for key aspects of solution architecture and engineering best practices
• Work alongside and mentor an inclusive team of engineers, acting as a bar raiser for development of performant, maintainable and thoroughly tested code
• Ensure the team is following state of the art engineering methodologies
• Drive proof of concepts and prototypes to accelerate the on-boarding of new technologies and solutions to solve business problems
• Cross organisational boundaries (brands, divisions) to collaborate with other technology teams to tackle enterprise-wide problems

Who you are:

• Bachelor’s in Technical or Master’s in Technical degree or relevant or equivalent related professional experience
• 8+ years of software development experience in an enterprise-level engineering environment demonstrating increasing levels of technical leadership
• 6+ years of hands-on big data engineering experience with an excellent understanding of delivering BI and AI projects
• Experience architecting, developing, and successfully delivering complex, large-scale systems
• Worked in at least 2 multi-quarter data engineering projects
• Formally mentored at least 3 individual contributors
• Track record of delivering high-performance, scalable data products
• Drove technical design end to end of at least 3 data engineering projects
• Initiated, socialised, and executed at least 3 non-trivial changes that benefited the larger engineering community
• Possess a strong understanding of organisational strategy, architecture patterns, and technology choices and coaches the team in execution in alignment to these guidelines
• Has a good understanding of data modeling, schema design patterns, and modern data access patterns (including API, stream, and data lake) and coaches the team to execution against industry and organizational best practices and standards
• Demonstrates expertise and a passion for MPP data technologies such as spark, Hadoop, modern table formats, event queues, and stream processing technology
• Fluent in one or more of the following languages: Python, Java, Scala, and AWS or equivalent cloud technology
• Strong experience in using streaming and event-driven architecture patterns
• Expertise in agile software development methodologies and using them efficiently within teams
• Outstanding communication and organizational skills – able to translate between technical and business functions, bring forward a vision or opinion that can push the boundaries of innovation
• Ability to work on multiple tasks and projects simultaneously, prioritize decisions and tasks, and work in a fast-paced, changing environment
• Deep understanding of trade-offs of architectural patterns and sound decision-making and confidence in recommending approaches and associated technology choices
• Relentless passion for delivering technology and experiences that help customers and developers