Collabera
Collabera is ranked amongst the top 10 Information Technology (IT) staffing firms in the U.S., with more than $550 million in sales revenue and a global presence that represents approximately 12,000+ professionals across North America (U.S., Canada), Asia Pacific (India, Philippines, Singapore, Malaysia) and the United Kingdom. We support our clients with a strong recruitment model and a sincere commitment to their success, which is why more than 75% of our clients rank us amongst their top three staffing suppliers.
Job Description
Title : Lead Datawarehouse /Big Data Duration
12+ Months (Good Chance of Extension) Lead Datawarehouse /Big Data Expert Senior resource in a Tech Lead role responsible for delivering quality ETL work using Informatica in a Datawarehouseing environment that involves Hadoop, Linux, R programming, Netezza. An experienced Big Data resource, expertise in Administering, Developing and deploying Oracle Big Data Appliance (Oracle BDA) solution. Proven work experience on h/w, s/w configs, enterprise level installation, configuration of Hadoop distributed cluster especially with the Oracle BDA, its security framework, best practices and standards for development/deployment processes . Big Data/Netezza Integration, comfortable in usage of the Sqoop, Linux Shell scripting, related utilities and the R programming. Excellent knowledge of Hadoop architecture and administration and support 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), especially the R programing. Experience with Hadoop Security model consisting of authentication, service level authorization, authentication for Web consoles and data confidentiality. Hand-on experience in leading and providing expertise and guidance to groups across the enterprise in the design and support of Hadoop security integration with Client LDAP 2 to 3 years applicable experience in developing and/or administering Hadoop (highly desirable the R instillation, configuration and the Oracle BDA) production and development data hub environments in a large setting for complex systems.
Required Skills: Oracle Big Data Appliance / Cloudera Hadoop technical stack, R programming Expertise in Hadoop ecosystem products such as HDFS, MapReduce, Hive, Pig, Spark, AVRO, HBase, Zookeeper Experience with SQL, Java (MapReduce), Python (linux shell like scripts) development Experience of Business Intelligence, data mining techniques and analytics functions Predictive analytics experience is a PLUS
Requirements: Past work experience on h/w, s/w configs, enterprise level installation, configuration, setting up R program environment, its security framework, best practices and standards for development/deployment processes . Past work experience on h/w, s/w configs, enterprise level installation, configuration of Hadoop distributed cluster especially with the Oracle BDA, its security framework, best practices and standards for development/deployment processes . Expertise in Architecting, Administering, Developing and deploying Big Data solutions. Hands-on development, design work on Big Data Analytics to support the data scientists.
Phone :973-637-1908 Additional Information
To know more about this opportunity, please contact: #J-18808-Ljbffr
Title : Lead Datawarehouse /Big Data Duration
12+ Months (Good Chance of Extension) Lead Datawarehouse /Big Data Expert Senior resource in a Tech Lead role responsible for delivering quality ETL work using Informatica in a Datawarehouseing environment that involves Hadoop, Linux, R programming, Netezza. An experienced Big Data resource, expertise in Administering, Developing and deploying Oracle Big Data Appliance (Oracle BDA) solution. Proven work experience on h/w, s/w configs, enterprise level installation, configuration of Hadoop distributed cluster especially with the Oracle BDA, its security framework, best practices and standards for development/deployment processes . Big Data/Netezza Integration, comfortable in usage of the Sqoop, Linux Shell scripting, related utilities and the R programming. Excellent knowledge of Hadoop architecture and administration and support 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), especially the R programing. Experience with Hadoop Security model consisting of authentication, service level authorization, authentication for Web consoles and data confidentiality. Hand-on experience in leading and providing expertise and guidance to groups across the enterprise in the design and support of Hadoop security integration with Client LDAP 2 to 3 years applicable experience in developing and/or administering Hadoop (highly desirable the R instillation, configuration and the Oracle BDA) production and development data hub environments in a large setting for complex systems.
Required Skills: Oracle Big Data Appliance / Cloudera Hadoop technical stack, R programming Expertise in Hadoop ecosystem products such as HDFS, MapReduce, Hive, Pig, Spark, AVRO, HBase, Zookeeper Experience with SQL, Java (MapReduce), Python (linux shell like scripts) development Experience of Business Intelligence, data mining techniques and analytics functions Predictive analytics experience is a PLUS
Requirements: Past work experience on h/w, s/w configs, enterprise level installation, configuration, setting up R program environment, its security framework, best practices and standards for development/deployment processes . Past work experience on h/w, s/w configs, enterprise level installation, configuration of Hadoop distributed cluster especially with the Oracle BDA, its security framework, best practices and standards for development/deployment processes . Expertise in Architecting, Administering, Developing and deploying Big Data solutions. Hands-on development, design work on Big Data Analytics to support the data scientists.
Phone :973-637-1908 Additional Information
To know more about this opportunity, please contact: #J-18808-Ljbffr