Senior Hadoop Architect

Posted 5 Days Ago

Be an Early Applicant

In-Office

Pleasanton, CA

Senior level

In-Office

Pleasanton, CA

Senior level

The Senior Hadoop Architect will oversee Hadoop application production, manage talent and performance, evaluate architecture options, and integrate analytic solutions.

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Company Description

First IT Solutions

Job Description

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 :

Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)

Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems

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 :

Unstructured Search

Telematics

Fraud Detection

Call Centre Analytics

Social Media Analytics

Desired Hands-on Experience RangeMinimum 4+ years and ideally 8+ years’ experience in industries, preferably insurance, banking, financial services, healthcare, or retail.

Qualifications

Bachelors/Masters/PhD

Additional Information

Job Status: Permanent

Share the Profiles to mdanish(at)1stitsolutions.com

Contact: 703-349-1004

Keep the subject line with Job Title and Location

Top Skills

Apache

Chef

Cognos

Core Java

Flume

Hadoop

Hadoop Map Reduce

Hbase

Hdfs

Hibernate

Hive

Informatica

J2Ee

Jdbc

Linux

Mahout

Microstrategy

Pentaho

Perl

PHP

Pig

Python

SAS

Splunk

Spring

Spss

Sqoop

Struts

Talend

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