Senior Hadoop Architect
TecTammina
Posted: March 13, 2015
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Quick Summary
A Senior Hadoop Architect is required to design and implement scalable and efficient Big Data processing systems, leveraging expertise in Hadoop, Java, and key tools like Hadoop MapReduce and Flume.
Job Description
Tech Tammina LLC
Must have technical competency:
Strong hands-on knowledge in
Core Java, J2EE, JDBC, Spring, Struts, Hibernate, Hadoop
Distributed File Systems: HDFS
Hadoop Map Reduce, Parallel Processing, Stream Processing, Flume, Splunk
Architectural Patterns
Analytical Tools: SAS, SPSS, R, Mahout
Hands-on experience with BI tools and reporting software (e.g. Microstrategy, Cognos, Pentaho)
Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, Hbase, Flume)
Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)
Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica, Talend, Pentaho)
Hands-on experience with any 1 of analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
Hands-on experience with "productionalizing" Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
Ability to critically evaluate multiple architecture options
Strong technical documentation skills
Should know how to translate business requirements into analytical requirements
Required Skill Set· Strong business development focus with an opportunistic attitude
Responsible for talent management and recruiting to grow, at the same time, infusing the right “analytics-driven” culture
Knowledge in any one of the following:
o Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)
o Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
o Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores
Experience in applying Big Data technology to any of the following use cases will be a definite plus:
o Unstructured Search
o Telematics
o Fraud Detection
o Call Centre Analytics
o Social Media Analytics
Desired Hands-on Experience Range:
Minimum 4+ years and ideally 8+ years’ experience in industries, preferably insurance, banking, financial services, healthcare, or retail.
Job Status: Full Time
Eligiblity: GC or US Citizens
Share the Profiles to mkonni(at)1stitsolutions.com
Contact: 703-349-1214
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