Developer
π Role Overview & Responsibilities
Hadoop Developer
Mandatory Technical Skills
Extensive knowledge of Hadoop stack and storage technologies HDFS, MapReduce, Yarn, HBASE, HIVE, sqoop, Impala , spark and oozie Extensive Knowledge on Bigdata Enterprise architecture (Cloudera preferred) Knowledge of JAVA/J2EE Experience in Datawarehouse concepts Must have experience in big data application for Banking or Financials Organization
Good To have
Experience with Big Data Analytics & Business Intelligence and Industry standard tools integrated with Hadoop ecosystem. ( R , Python ) Visual Analytics Tools knowledge ( Tableau ) Data Integration, Data Security on Hadoop ecosystem. ( Kerberos ) Awareness or experience with Data Lake with Cloudera ecosystem
Qualifications & Experience
Bachelorβs degree in Science or Engineering 10+ year of Industry experience. Minimum 2+ years of Big Data experience Experience in developing real time streaming applications using Flume and kafka Experience in working different file formats including parquet and Avro Benchmark systems, analyze system bottlenecks, and propose solutions to eliminate them Develop highly scalable and extensible Big Data platform, which enables collection, storage, modeling, and analysis of massive data sets from numerous channels Continuously evaluate new technologies, innovate and deliver solution for business critical applications Hadoop real time streaming β Kafka, Flume Cloudera Hadoop β Hive, Impala, Spark, HDFS Experience in Agile, Cassandra, sqoop, oozie
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