Senior ETL Developer for DW and Big Data

eBay

Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.

StubHub is the world’s largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events.  StubHub reinvented the ticket resale market in 2000 and continues to be the market leader through innovation.  The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment.  All transactions are processed and delivered by StubHub and backed by the company's Fan Protect Guarantee™.  Company partners include the San Francisco Giants and University of Texas, along with over 60 teams in the NFL, MLB, NBA, NHL and NCAA, complemented with companies such as ESPN, and AEG.  

This role will design and deliver Data Quality Controls for data applications for operational reporting, data analytics, and partner integration to enable strategic decision making. As a Senior Member of Data Application Development team within the Data and Analytic organization at StubHub will be responsible for the development and implementation of Data Quality architecture, data modeling and supporting data related tasks for data sources across the enterprise. This individual will understand business requirements and help architect optimal data solutions in both the Enterprise Data Warehouse and the new Big Data platforms.  He / She will understand complex data requirements based on analysis of current systems and help enhance the existing data model to accommodate new data requirements.  He / She will work cross-functionally with Data Analytics, Product, PMO, various Business Units, Enterprise Architecture & Data Warehousing teams to implement BI and Data related initiatives.  The right candidate will have experience in developing Data Quality Architecture in the BI & Data domain and be intimately familiar with software development lifecycle and Agile methodologies.  This position requires excellent communication and partnering skills along with the ability to influence and lead solutions.

REQUIRED SKILLS:

  • Provide technical leadership and contribute to the definition, development, integration, test, documentation, and support across multiple platforms (Unix, Hadoop, Oracle and Informatica utilities)
  • Analyze, assimilate and integrate multi-technology data systems by building a unified back-end platform and a web enabled front-end
  • Instill best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work on tight schedules
  • Involved in all phases of software development from review of functional specification through assisting with test plans and final QA cycle.  Actively participates in monitoring and troubleshooting of production platform related issues
  • Perform day-to-day tasks that ensure technology platform remains stable and available to users.  Closely work with cross functional team to enhance systems, trouble-shoot data issues, etc
  • Bachelor’s degree in Computer Engineering or equivalent is desired
  • 8+ years of post-college working experience with full life cycle of ETL development in Data Warehouse and Data Integration projects using using Informatica or any other similar ETL tool and Big Data
  • 6+ years Linux/Unix/Perl experience, including scripting and version control with working knowledge of Oracle database
  • 5+ years of Unix development experience is required
  • 2+ years of Hadoop using Map Reduce or Hive or Pig or any other Bid Data eco-system tool.
  • Expertise in Shell scripting, system/process automation is required
  • Expertise in data research/analysis with a focus on data quality and consistency is required

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eBay Inc. is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

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Confirmed 11 hours ago. Posted 30+ days ago.

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