Hadoop Consultants

Responsibilities:

• Participate in the pre- and post- sales process, helping both the sales and product teams to interpret customers’ requirements 
• Work directly with prospective customers’ technical resources to devise and recommend solutions based on the understood requirements 
• Analyze complex distributed production deployments, and make recommendations to optimize performance 
• Work closely with account teams at all levels to ensure rapid response to customer questions and project blockers 
• Help develop reference Hadoop architectures and configurations 
• Drive POCs with customers to successful completion 
• Write and produce technical documentation, knowledgebase articles 
• Attend speaking engagements when needed 
• Travel 100%, Monday-Thursday. Travel - reimbursed. 

 
Qualifications:

• 3+yrs of Professional Services (customer facing) experience architecting large scale storage, data center and /or globally distributed solutions 2+ years designing and deploying 3 tier architectures or large-scale Hadoop solutions 
• Ability to understand and translate customer requirements into technical requirements 
• Strong experience implementing software and/or solutions in the enterprise Linux or Unix environment 
• Ability to compile and install Linux applications from source, the Linux kernel and kernel modules 
• Experience with integrating various solutions such as LDAP, or system / installation management tools into the overall solution 
• Strong understanding of network configuration, devices, protocols, speeds and optimizations 
• Python, Perl, or other scripting language required 
• Familiarity with the Java ecosystem and enterprise offerings, including debugging and profiling tools (jconsole), logging and monitoring tools (log4j, JMX), and security offerings (Kerberos/SPNEGO). 
• Significant previous work writing to network-based APIs, preferably REST/JSON or XML/SOAP 
• Solid background in Database administration or design - Oracle RAC a plus Excellent verbal and written communications
• Experience in architecting data center solutions – properly selecting server and storage hardware based on performance, availability and ROI requirements 
• Demonstrable experience using R and the algorithms provided by Mahout 

 
Nice, but not required experience:

• Experience working with Apache Hadoop including: Knowledge on how to create and debug Hadoop jobs 
• Ability to understand big data use-cases, and recommend standard design patterns commonly used in Hadoop-based deployments. 
  
  

Knowledge of the data management eco-system including: Concepts of data warehousing, ETL, data integration, etc.

8 weeks with extension

Submit your resume today!