As a Senior Data Engineer, you are an authority, familiar with all the data warehousing technical components, infrastructure, and related integration. You’ll analyze large amounts of data, discover and tackle real world problems. You are responsible for high level design/data flow - having experience with Star Schemas, Data Cubes and Dimensional Models.
In this highly visible role, you will work across teams to capture requirements for data logging, storing, redefining, and reporting, and will build scalable solutions in the agile development method. You'll work with a variety of tools and systems, most of which are Cloud-based applications or data-platform components (e.g., data pipelines, processing, visualizations, reporting, etc).
What you’ll do:
If you love building tools and data pipelines, can build clear and effective reports and data visualizations, and can partner with decision makers to answer key business questions. You will have the opportunity to display your skills in the following areas:
Design, implement, and support key datasets that provide structured and timely access to meaningful business information with the needs of the end customer always in view.
Retrieve and analyze data using SQL, Excel, and other data management systems.
Build ETLs/ELTs to take data from various operational systems and build a unified dimensional or star schema data model for analytics and reporting.
Develop a deep understanding of vast data sources (existing on the cloud) and know exactly how, when, and which data to use to solve particular business problems!
Who you are:
7+ years' experience with detailed knowledge of data warehouse design/models, ETL/ ELT, reporting tools, and data security.
5+ years of experience in designing data warehouse solutions and integrating technical components
2+ yrs of scripting language (Python, etc.) experience
1+ yr experience with production BI implementation in Cloud
Exposure in at least one reporting tool like QlikView, Tableau, Power BI etc.
Capable of investigating, familiarizing and mastering new data sets quickly.
Experience with building data platforms on cloud (AWS)
Good familiarity with Linux/Unix scripting
Experience with Hadoop, MPP DB platform, other NoSQL (Mongo, Cassandra) technologies is a huge plus
Bachelor, or Masters, of Science Degree in Computer Science or related field
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®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
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