Job Description :
Position : Big Data Architect
Location : Washington DC
Duration : Long Term
Pay Rate : $85 to $90 on C2C & F2F
Task:
You will work in a stack using Solr and Elastic Search to drive the delivery of the web search solution on the Cloudera Big Data platform.
Requirements:
Design and develop the search engine solution from concept to completion by leveraging the best practices of Solr and Spark
Collaborate with matrix teams to develop detailed product plan and roadmap
Plan phases of customer journey towards the final architecture state
Provide technical governance and sign off on engineering team deliverables
Communicate product mission and vision across the organization
Explain complicated technical search concepts in a way that key stakeholders can easily understand
Identify and remedy any document indexing issues and performing capacity planning
Work with Scrum Master in an agile setting to develop the final product.
Qualifications
7+ years of experience in Software Development
5+ years of Java Experience
3+ years of production experience storing and processing large data sets using modern data platforms such as Hadoop
3+ years of production implementation experience in Information retrieval theory, (i.e. Apache Lucene/Solr/Elastic Search)
Experience working across frontend and backend systems to build scale-able, high performance applications in a resource oriented architecture
Knowing taxonomy and tagging, API integration and repositories, crawling repositories. Best path to mine for greatest value, error mitigation, knowledge of RESTful APIs
3+ years of experience working in a Linux Environment
3+ year of Maven experience
1+ year of Git experience
Experience with Test Driven Development
Proven experience in e-commerce environment, filters and side bars, creating a search experience
Experience with UX and Mobile best practices
Production experience developing with languages such as Python or Java in an enterprise context
Strong interest in or expertise with Machine Learning
Passion for writing clean and well-tested code
Driven self-starter and enjoy working in a small team