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US-NJ: Warren-Developer w/ HADOOP
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JobCircle.Com
Sep 12, 2012, 6:31:02 AM9/12/12
to
**************************************************************
JobCircle.com is the largest regional job board in the
Mid-Atlantic region, with tens of thousands of job offerings
in PA, NJ, DE, MD, NY, and Washington D.C. To learn more,
visit http://www.jobcircle.com?source=ng
**************************************************************
Job Title: Developer w/ HADOOP
Job Location: NJ: Warren
Pay Rate: Open
Job Length: 7-12 months (contract)
Start Date: 2012-09-12
Company Name: Mitchell/Martin Inc.
Contact: Mitchell Martin
Phone: email only
Fax: email only
Description: Our client, one of the largest financial services firms, is seeking a Systems Engineer Location: Warren, NJ Position Type: Contract Seeking a senior team member that has Hadoop experience (must have) and junior developer that may have little to no experience with Hadoop The contractor can work remotely. Hadoop most- hottest tech, emerging tech, brand new Candidates should have some exp with Hadoop specifically with Cloudera. Hadoop is an open source tool that allows for massive parallel computing and storage, and handle pedabytes of data. In addition to the Hadoop skills, the contractors MUST have some architecture exp, reference architecture exp, and strong core Java development exp. They MUST have experience working with big data and related tools that can handle big data, such as TALEND ETL and Java experience Comparable tools to Hadoop: Mongo DB (open source) or Cassandra or Google big table or IBM big insights or DataMeer or Tableau or Karmasphere or microstrategy or R. Candidates should be familiar with Hadoop SDLC or SDLC for the above tools The DE - Big Data Engineering team is actively recruiting for an Engineer Specialist , with a solid understanding and extensive hands-on experience engineering Hadoop products for large scale deployments. The candidate must have experience with all components of the Hadoop ecosystem and will contribute to the architecture and engineering responsibilities of the Hadoop offering within Client s portfolio. Knowledge/Experience: 5+ years overall IT experience. + years of experience with Big Data solutions and techniques. + years Hadoop application infrastructure engineering and development methodology background. Experience with full Hadoop SDLC deployments with associated administration and maintenance functions Designing application solutions that make use of enterprise infrastructure components such as storage, load-balancers, 3-DNS, LAN/WAN, and DNS. . Developing Hadoop integrations for data ingestion, data mapping and data processing capabilities Well-versed with concepts of high-availability, redundant system design, disaster recovery and seamless failover Experience with Cloudera distribution (CDH) and Cloudera is preferred. Technical Skills: Advanced experience with Java, HDFS , MapReduce (hadoop lang), Hive, HBase, Pig, and Flume - all these are hadoop tools and languages Red Hat Linux, UNIX Shell Scripting, RDBMS, NoSQL, and ETL solutions. Clojure scripting for hadoop , Cascading, AVRO JSON. Apache Mahout same as R- statical analytical tool nice to have SOLR search tool nice to have Lucene nice to have Monitoring tools such as Ganglia and Nagios nice to have Analytical tools such as Datameer, Karmasphere and R nice to have Soft Skills: Good interpersonal with excellent communication skills - written and spoken English. Able to interact with client projects in cross-functional teams. Good team player interested in sharing knowledge and cross-training other team members and shows interest in learning new technologies and products. Ability to create documents of high quality Ability to work in a structured environment and follow procedures, processes and policies Self-starter who works with minimal supervision Ability to work in a team of diverse skill sets and geographies Exposure to Banking internal standards, policies and procedures is a plus
Please refer to Job code 12-08367 when responding to this ad.
For FASTEST PROCESSING of your resume, please visit http://www.jobcircle.com/classifieds/11301458.html?source=ng to apply online.
**************************************************************
For fastest processing of your resume, this employer asks that
you apply to this job using the URL above.
**************************************************************
JobCircle.com is the largest regional job board in the
Mid-Atlantic region, with tens of thousands of job offerings
in PA, NJ, DE, MD, NY, and Washington D.C. To learn more,
visit http://www.jobcircle.com?source=ng
**************************************************************
Job Title: Developer w/ HADOOP
Job Location: NJ: Warren
Pay Rate: Open
Job Length: 7-12 months (contract)
Start Date: 2012-09-12
Company Name: Mitchell/Martin Inc.
Contact: Mitchell Martin
Phone: email only
Fax: email only
Description: Our client, one of the largest financial services firms, is seeking a Systems Engineer Location: Warren, NJ Position Type: Contract Seeking a senior team member that has Hadoop experience (must have) and junior developer that may have little to no experience with Hadoop The contractor can work remotely. Hadoop most- hottest tech, emerging tech, brand new Candidates should have some exp with Hadoop specifically with Cloudera. Hadoop is an open source tool that allows for massive parallel computing and storage, and handle pedabytes of data. In addition to the Hadoop skills, the contractors MUST have some architecture exp, reference architecture exp, and strong core Java development exp. They MUST have experience working with big data and related tools that can handle big data, such as TALEND ETL and Java experience Comparable tools to Hadoop: Mongo DB (open source) or Cassandra or Google big table or IBM big insights or DataMeer or Tableau or Karmasphere or microstrategy or R. Candidates should be familiar with Hadoop SDLC or SDLC for the above tools The DE - Big Data Engineering team is actively recruiting for an Engineer Specialist , with a solid understanding and extensive hands-on experience engineering Hadoop products for large scale deployments. The candidate must have experience with all components of the Hadoop ecosystem and will contribute to the architecture and engineering responsibilities of the Hadoop offering within Client s portfolio. Knowledge/Experience: 5+ years overall IT experience. + years of experience with Big Data solutions and techniques. + years Hadoop application infrastructure engineering and development methodology background. Experience with full Hadoop SDLC deployments with associated administration and maintenance functions Designing application solutions that make use of enterprise infrastructure components such as storage, load-balancers, 3-DNS, LAN/WAN, and DNS. . Developing Hadoop integrations for data ingestion, data mapping and data processing capabilities Well-versed with concepts of high-availability, redundant system design, disaster recovery and seamless failover Experience with Cloudera distribution (CDH) and Cloudera is preferred. Technical Skills: Advanced experience with Java, HDFS , MapReduce (hadoop lang), Hive, HBase, Pig, and Flume - all these are hadoop tools and languages Red Hat Linux, UNIX Shell Scripting, RDBMS, NoSQL, and ETL solutions. Clojure scripting for hadoop , Cascading, AVRO JSON. Apache Mahout same as R- statical analytical tool nice to have SOLR search tool nice to have Lucene nice to have Monitoring tools such as Ganglia and Nagios nice to have Analytical tools such as Datameer, Karmasphere and R nice to have Soft Skills: Good interpersonal with excellent communication skills - written and spoken English. Able to interact with client projects in cross-functional teams. Good team player interested in sharing knowledge and cross-training other team members and shows interest in learning new technologies and products. Ability to create documents of high quality Ability to work in a structured environment and follow procedures, processes and policies Self-starter who works with minimal supervision Ability to work in a team of diverse skill sets and geographies Exposure to Banking internal standards, policies and procedures is a plus
Please refer to Job code 12-08367 when responding to this ad.
For FASTEST PROCESSING of your resume, please visit http://www.jobcircle.com/classifieds/11301458.html?source=ng to apply online.
**************************************************************
For fastest processing of your resume, this employer asks that
you apply to this job using the URL above.
**************************************************************
wendylw...@gmail.com
May 20, 2013, 5:33:01 AM5/20/13
to
We are providing HADOOP online training from hyderabad india. HADOOP online training is having good demand in the market, Our HADOOP online training faculty is very much experienced and highly qualified and dedicated.
Our HADOOP online training program is job oriented. After completion of HADOOP online training with us you should be able to work on any kind of project. After completion of HADOOP online training our dedicated team will be supporting you.
Please contact us for HADOOP online training Demo in our rstrainings.com is the bes HADOOP online training Institute in Hyderabad, India.
HADOOP Online Training Course Content :
1.INTRODUCTION
• What is Hadoop?
• History of Hadoop
• Building Blocks - Hadoop Eco-System
• Who is behind Hadoop?
• What Hadoop is good for and what it is not
2.HDFS
• Configuring HDFS
• Interacting With HDFS
• HDFS Permissions and Security
• Additional HDFS Tasks
• HDFS Overview and Architecture
• HDFS Installation
• Hadoop File System Shell
• File System Java API
3.MAPREDUCE
• Map/Reduce Overview and Architecture
• Installation
• Developing Map/Red Jobs
• Input and Output Formats
• Job Configuration
• Job Submission
• Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )
4.Getting Started With Eclipse IDE
• Configuring Hadoop API on Eclipse IDE
• Connecting Eclipse IDE to HDFS
5.Hadoop Streaming
6.Advanced MapReduce Features
• Custom Data Types
• Input Formats
• Output Formats
• Partitioning Data
• Reporting Custom Metrics
• Distributing Auxiliary Job Data
7.Distributing Debug Scripts
8.Using Yahoo Web Services
9.Pig
• Pig Overview
• Installation
• Pig Latin
• Pig with HDFS
10. Hive
• Hive Overview
• Installation
• Hive QL
• Hive Unstructured Data Analyzation
• Hive Semistructured Data Analyzation
11.HBase
• HBase Overview and Architecture
• HBase Installation
• HBase Shell
• CRUD operations
• Scanning and Batching
• Filters
• HBase Key Design
12.ZooKeeper
• Zoo Keeper Overview
• Installation
• Server Mantainace
13.Sqoop
• Sqoop Overview
• Installation
• Imports and Exports
14.CONFIGURATION
• Basic Setup
• Important Directories
• Selecting Machines
• Cluster Configurations
• Small Clusters: 2-10 Nodes
• Medium Clusters: 10-40 Nodes
• Large Clusters: Multiple Racks
15.Integrations
16.Putting it all together
• Distributed installations
• Best Practices
http://www.rstrainings.com/hadoop-online-training.html
Our HADOOP online training program is job oriented. After completion of HADOOP online training with us you should be able to work on any kind of project. After completion of HADOOP online training our dedicated team will be supporting you.
Please contact us for HADOOP online training Demo in our rstrainings.com is the bes HADOOP online training Institute in Hyderabad, India.
HADOOP Online Training Course Content :
1.INTRODUCTION
• What is Hadoop?
• History of Hadoop
• Building Blocks - Hadoop Eco-System
• Who is behind Hadoop?
• What Hadoop is good for and what it is not
2.HDFS
• Configuring HDFS
• Interacting With HDFS
• HDFS Permissions and Security
• Additional HDFS Tasks
• HDFS Overview and Architecture
• HDFS Installation
• Hadoop File System Shell
• File System Java API
3.MAPREDUCE
• Map/Reduce Overview and Architecture
• Installation
• Developing Map/Red Jobs
• Input and Output Formats
• Job Configuration
• Job Submission
• Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )
4.Getting Started With Eclipse IDE
• Configuring Hadoop API on Eclipse IDE
• Connecting Eclipse IDE to HDFS
5.Hadoop Streaming
6.Advanced MapReduce Features
• Custom Data Types
• Input Formats
• Output Formats
• Partitioning Data
• Reporting Custom Metrics
• Distributing Auxiliary Job Data
7.Distributing Debug Scripts
8.Using Yahoo Web Services
9.Pig
• Pig Overview
• Installation
• Pig Latin
• Pig with HDFS
10. Hive
• Hive Overview
• Installation
• Hive QL
• Hive Unstructured Data Analyzation
• Hive Semistructured Data Analyzation
11.HBase
• HBase Overview and Architecture
• HBase Installation
• HBase Shell
• CRUD operations
• Scanning and Batching
• Filters
• HBase Key Design
12.ZooKeeper
• Zoo Keeper Overview
• Installation
• Server Mantainace
13.Sqoop
• Sqoop Overview
• Installation
• Imports and Exports
14.CONFIGURATION
• Basic Setup
• Important Directories
• Selecting Machines
• Cluster Configurations
• Small Clusters: 2-10 Nodes
• Medium Clusters: 10-40 Nodes
• Large Clusters: Multiple Racks
15.Integrations
16.Putting it all together
• Distributed installations
• Best Practices
http://www.rstrainings.com/hadoop-online-training.html
anitha...@gmail.com
Sep 23, 2013, 8:16:32 AM9/23/13
to
This information which you provided is very much useful for us.It was very interesting and useful for hadoop online training learners.We also providing <a href="http://123trainings.com/it-hadoop-bigdata-online-training.html">hadoop online training </a>.
govindul...@gmail.com
Sep 24, 2013, 8:03:02 AM9/24/13
to
A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which includes support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heatmaps and ability to view MapReduce, Pig and Hive applications visually alongwith features to diagnose their performance characteristics in a user-friendly manner <a href="http://www.iqonlinetraining.com/hadoop-online-training/">Hadoop online training</a>
renuka...@gmail.com
Sep 25, 2013, 8:47:42 AM9/25/13
to
I am very much intrested in doing such type of jobs.. But right now i am learning Hadoop Online Training at Big Infosys, Hyderabad..
anitha...@gmail.com
Sep 26, 2013, 9:27:28 AM9/26/13
to
It was very nice that u have very much interested regarding HADOOP .If u have more doubts better to take HADOOP ONLINE TRAINING
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