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Job Field: Office Jobs
Location: BELLEVUE, WA
Salary: $-
Job Type: Part Time

JOB SUMMARY:

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               <td align="left"><font style="font-size: 100%;">Software Development Engineer (Big Data - Hadoop)<BR><BR><BR>Job ID #: 22195<BR>Company: Expedia, Inc.<BR>Location: USA - WA - Bellevue<BR>Functional Area: Technology<BR>Employment Type: Full-Time Regular<BR>Education Required: Bachelor of Science<BR>Experience Required: 3-5 Years<BR>Relocation Provided: To be determined<BR><BR><BR><BR><BR><BR><BR>Position Description<BR><BR>Are you an engineer who wants to work for a strong and innovative online travel technology company? Do you have a passion for turning data into meaningful information? Does working on a world-class analytics platform backed by a cutting edge Big Data implementation that will look to scale to hundreds of terabytes by the end of the year spark any interest? If any of those are true&hellip;Expedia is looking for YOU!<BR><BR>Expedia Inc., the largest Online Travel Agency (OLTA), is looking for an experienced, highly motivated, self-directed Software Development Engineer to join the Enterprise Data Warehouse (EDW) team. As part of the EDW, you get to participate in the transformation of the warehouse into a real-time analytics engine, data-driven business intelligence and monetization. You&rsquo;ll get to work on a software stack dealing with large petabyte scale data-sets, doing millions of queries a day, on large clusters aggregating data from all points of sale across the globe!<BR><BR>In this role, you will be responsible for the delivery of solutions on top of the Hadoop big data platform implementation and playing a key role in this huge technology pivot. These solutions drive business value from powering the most critical business decisions to powering how the site behaves through various avenues of personalization. This entails working with the delivery team and business partner to flesh out requirements, complete solution design, development and ultimate delivery to the end consumers.<BR><BR>Responsibilities:<BR><BR><BR>* Develop various facets of the Hadoop EDW ecosystem and MapReduce jobs.<BR><BR>* Understand customer analytics needs, and translate them into pluggable Hadoop Hive UDFs/UDAFs.<BR><BR>* Evolve development standards and design patterns for overall EDW Hadoop-based Development.<BR><BR>* Prototype creative solutions quickly<BR><BR>* Provide timely and appropriate communication to business owners, stakeholders, and users on issue status and resolution.<BR><BR><BR><BR><BR>Qualifications:<BR><BR><BR><BR><BR>* Strong on core Java server-side programming, shell scripting, Python, and SQL<BR><BR>* Strong development skills around Hadoop, Hive, Pig, HBase, Mahout & Map Reduce<BR><BR>* Knowledge and proven experience on Object-oriented design, performance/scalability tuning, algorithms and computational complexity<BR><BR><BR>* Proven background in Data Warehousing and ETL development highly preferred<BR><BR>* Ability to read and interpret data schema<BR><BR>* Proven ability to create and maintain online and printed documentation<BR><BR>* Proven ability to work cross functionally to deliver appropriate resolution of technical, procedural, and operational issues<BR><BR>* Must have strong customer service skills and excellent verbal and written comm                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           </font></td>
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