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Web Developer Resume

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Las Vegas, NV

PROFESSIONAL EXPERIENCE:

Web Developer

Confidential, LAS VEGAS, NV

Responsibilities:

  • We’re looking for someone to help us make Caesars.com the starting point for inspiring grown - ups to play.
  • You’ll work in a small team that develops client and server components to support our portfolio of over 70 resort websites.
  • We want to leverage your experience working in high performance teams to ensure that digital development is a competitive advantage for Caesars.
  • 5 years HTML/CSS/JavaScript development experience
  • 5 years professional Java development experience, writing effective Java code
  • Experience working with Adobe AEM or other Content Management System
  • Understanding of server environments

QA Tester

Confidential

Responsibilities:

  • Design and Development of Check Deposit Web Application and backend data store.
  • Investigating and fixing bugs / Participating in test execution cycles
  • Supporting the live application in the production environment
  • Basic Technical Requirements
  • Strong Experience in developing web applications using ASP.Net, C#, WCF, Javascript, CSS (8 years plus).
  • Strong experience in Database design and SQL scripting (i.e. Writing Stored Procs, Triggers etc)
  • Experience in any ETL Tool (ex. SSIS) will be a plus.
  • Experience in Check Processing.
  • Exposure to the Investment banking industry.

Project Manager/Business Analyst

Confidential, Phoenix, AZ

Responsibilities:

  • Experience with Java/ J2EE including server side development
  • 6+ years of experience working collaboratively on multi - person development teams
  • Experience working with front-office trade data
  • Experience working in an Agile-based development environment
  • Experience with automated integration testing strategies
  • Experience developing RESTful service
  • Experience working with external project stakeholders
  • Familiarity with Hadoop and Hadoop based tools including HBase, Flume, Spark, and SOLR
  • Support external teams that expect to consume trade data through training on Hadoop technologies, development of POCs, and assistance with technical questions
  • Ingestion of trade and position data into Hadoop from a variety of front office trading systems
  • Querying of trade data from external consumers via REST service, or locally on the Hadoop cluster using tools such as HIVE and SOLR

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