Hadoop Big Data Analytics

Company Name:
Minimum salary: 110000.00 USD
Maximum salary: 120000.00 USD
Salary period: Annual
SalaryAdditional: Bonus
Hadoop Big Data Analytics
Looking for a candidate that has Big Data Analytics, Hadoop integration, data integration, large scale ETL analytical techniques, statistical analysis.
Big Data & Analytics Engineering organization is actively recruiting for a Big Data Analytics Engineer with understanding of Big Data analytical products and Data Science techniques for Hadoop deployments. The candidate should have experience with engineering BI/Analytical products for large scale deployments. The candidate will contribute to the architecture and engineering responsibilities of the Big Data platform in Citi.
Big Data Analytical Tools Engineering - install, validate, test, and package analytical tools on Red Hat Linux and Wintel platforms Publish and enforce Big Data Analytics Tools best practices, configuration recommendations, etc. Create and publish design documents, usage patterns, and cookbooks for user community Partner with Citi sectors to solution analytical needs to large scale data problems Perform security and compliance assessment for Big Data Analytical Tools Provide SME and Level 3 technical support
Qualifications :
Understanding of analytics concepts, model development and BI Knowledge of the Hadoop ecosystem - HDFS, MapReduce, Hive, etc. Experience developing Hadoop integrations for data ingestion, data mapping and data processing capabilities Experience with large scale ETL, BI or Analytical platforms Experience with installation, validation, testing, and packaging on Red Hat Linux and Wintel platforms Any experience in Hadoop (Cloudera preferred), ETL (Talend, AbInitio), MapReduce, Hive, Pig, HBase, Java, C++, Perl, or Python Any experience in analytical techniques such as time series analysis, regression analysis, or other Any experience with statistical analysis software, such as Weka, R, Rapid-Miner, Matlab, SAS, SPSS Any past experience with optimizing computing techniques ie parallel processing, grid computing etc. Good interpersonal with excellent communication skills Able to interact with client projects in cross-functional teams Good team player interested in sharing knowledge and shows interest in learning new technologies and products

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