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.

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