• Prosper is built on a simple idea: connect people who want to borrow money with those that have money to invest. Prosper is an online marketplace that gives borrowers access to individual and institutional investors. Borrowers get low, fixed rates with no hidden fees or prepayment penalties. Investors can earn great returns through the platform’s data-driven underwriting for personal loans, creating a new and diverse investment opportunity. Through Prosper, more than $9 billion in personal loans have helped borrowers consolidate their credit card debt, pay for large purchases, make home improvements and cover medical expenses. Prosper Marketplace is headquartered in San Francisco and operations in Phoenix.
  • Prosper Marketplace is headquartered in San Francisco. The Prosper marketplace lending platform is owned by Prosper Funding LLC.

What We Need:

We are seeking a Data Engineer to join Prosper’s Business Intelligence technology team. The Data Engineer is responsible for data services including ETL pipeline implementation, data stewardship, data warehouse architecture, and data quality automation.  The ideal candidate has deep SQL experience and seeks to create highly performant queries that result in robust data warehouse tables that drive business insight. This role reports to the VP Business Intelligence and works closely with business teams to understand and replace existing ad-hoc data access and analysis.  Above all other factors, the successful candidate is smart, driven, and wants to be part of a culture of innovation and creativity as we develop and define the peer-to-peer lending market.

What You Will Do:

  • Works closely with DBAs, Product Managers, and Engineers to become a source-data-expert and maintain optimal data warehouse performance
  • Builds partnerships with business users, analysts, and data scientists to understand data, reporting, and analytic requirements
  • Writes highly performant SQL queries and tunes existing queries to continually improve performance
  • Designs and builds dimensional data warehouse tables that serve as the foundation for global BI needs
  • Creates automated ETL pipeline that self-repairs and self-validates or alerts the team
  • Works closely with developers to create and improve data flows between internal/external systems and the data warehouse
  • Clearly documents and communicates changes to Data Warehouse environment
  • Educates business analysts on data access best practices
  • Creates optimized views and data marts to address specific business use cases
  • Helps explore and evaluate new technologies

What You Will Need To Have:

  • B.S. in STEM field; M.S. preferred
  • 3+ years business intelligence, data mining experience supporting a business function
  • Expert level SQL skills
  • Expert data modeling skills
    • Conceptual, logical and physical model design
    • Operation Data Stores, Enterprise Data Warehouses and Data Marts
  • Proven analytical and problem solving skills
  • Experience developing, maintaining, and administering MS SQL Server
  • Hands on ETL experience coding and maintaining complicated SSIS Packages
  • Experience with Python or other data scripting languages a strong plus
  • Experience with Hadoop, Map Reduce, Hive, Pig a strong plus
  • A curious, self-motivated, resourceful, critical-thinker
  • Strong oral and written communication skills
  • Capable of meeting deadlines in a fast-paced, dynamic, start-up environment

To apply for this job please visit the following URL: https://www.prosper.com/about-us/jobs/?gh_jid=1027240&gh_src=41yu8p1 →

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