Senior Data Engineer

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Senior Data Engineer

A high-performing individual contributor who mentors junior engineers, applies new data engineering principles to improve existing systems and leads complex, well-defined projects.

What you’ll do:

• Proactively team up with peers across the organization to build an understanding of cross-dependencies and shared problem-solving.
• Participate in a community of practice to share and gain knowledge.
• Continually seek new technical skills in an engineering area.
• Share new skills and knowledge with the team to increase effectiveness.
• Build and operate highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Develop and test complex or non-routine software applications and related programs and procedures to ensure they meet design requirements.
• Effectively apply knowledge of software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, main table, optimized, and modular with good naming conventions.
• Effectively apply knowledge of databases and database design principles to solve data requirements.
• Effectively apply concepts of object-oriented design, distributed computing, performance/scalability tuning, advanced data structures and algorithms to batch and real-time stream analytics and large data processing.
• Understand software frameworks and how to leverage them to write simpler code.
• Lead and clarify code evolution in code reviews.
• Coordinates different stakeholders with varied perspectives to develop solutions to issues, and contributes own suggestions.
• Think holistically to identify opportunities around policies/ processes to increase efficiency across organizational boundaries.
• Assist with a whole system approach to analyzing issues by ensuring all components (structure, people, process and technology) are identified and accounted for.
• Recognize areas of inefficiency in code or systems operation and offer suggestions for improvements.
• Recommend advancements, innovations and changes in technologies (specifically relating to data engineering, cloud data platforms, data models, enterprise information management, business intelligence and data science).
• Compile data and reports on major operational or technical initiatives (like RCAs) to larger groups, whether via written or oral means.

**Who you are:

Education

• 5+ years for Bachelor's.
• 3+ years for Master's.
• Software development in at least 3 different languages.
• Built and maintained more than one data pipeline/data product in production environments (bug fixing, troubleshooting, monitoring, etc.).

Functional/ Technical Skills

• Display strength in at least 3 programming languages relevant to data (e.g. Java, Spark, Python).
• Identify strengths and weaknesses among languages for particular use cases.
• Apply organizational technology patterns effectively in their projects and recommend alternate options.
• Hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and can make independent decisions within the project's scope.
• Display a good understanding of data structures and algorithms.
• Hands-on experience working with at least 1 cloud technology and its offerings within the data specialization.
• Business acumen/domain knowledge (understand how projects/teams interact with other teams).
• Understand and design moderately complex systems.
• Familiarity with some data modelling and schema design patterns.
• Good understanding of organizational reference patterns and technology choices and applying them to their projects.
• Test and monitor code at the project level.
• Understand how to test and monitor tools (Testing, monitoring, alerting).
• Debug and fix issues within established SLAs.
• Design software that is easily testable and observable.
• Identify business problems at the project level and provide solutions.
• Experience in streaming technology, data validation, data performance and cost optimization.
• Demonstrate knowledge of advanced and relevant technology.
• Exhibits comfort working with several forms of technology.
• Understand the relationship between applications, databases and technology platforms.

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

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