Need Male & Female Interview Call Support for Hadoop + Spark

Must have Strong Communication Skills Should be available in US (CST / EST ) timings • Hands-on experience in working with Big Data technologies i.e. HDFS, MapReduce, PIG, HBase & Hive, Oozie , Sqoop, Flume and Spark. • Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS,Job Tracker, Task Tracker, Name Node, Data Node. • Experienced the cluster management in Horton works using Ambari and data management using Hue • Expertise in Data load management, importing & exporting data using SQOOP. • Involved in writing the java programs, to load the data from local or remote systems to HDFS. • Familiar with data ingestion pipeline design , deduplication, windowing • Experienced in creating oozie workflows, coordinators for data ingestion and downstream processing • Capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture • Worked on all phases of data warehouse development life cycle, ETL design & implementation & support of new & existing applications. • Partnered in building effective Hive, Pig and MapReduce scripts. • Build complex workflows using hPDL in OOZIE. • Involved in analysis, database design and development of BI, client/server and enterprise applications using SSIS, SSAS and SQL Server. • Extensive knowledge on Data warehousing, OLAP, Dimensional Data Modelling for FACT and Dimensions Tables using Analysis Services. • Experience in working with different & complex datasets, like Flat files, JSONs, XML files and Databases, in combination big data technologies. • Capable to design fast & durable algorithms and strong understanding of Statistical algorithms - Linear & Logistic Regressions. • Experienced in Calculating Measures and Members in SQL Server Analysis Services (SSAS) using multi-dimensional expression (MDX), Mathematical Formulas. • Skillful at Data Transformations, Tasks, Containers, Sources and Destinations like Derived Column, Conditional Split, Sort and Merge Join Transformations to load data into Data Warehouse. • Excellent experience in Database Design and Data Modelling (both OLTP & OLAP). • Excellent problem solving skills, high analytical skills and interpersonal skills. • A fast Learner, smart worker and quick in adapting newer technologies. • Good team player, strong interpersonal and communication skills combined with self-motivation, initiative and the ability to think outside the box.