KPMG - Big Data Analytics Role

- Hands-on experience in working with Hadoop Distribution platforms like HortonWorks, Cloudera, MapR and others.

- Ability to work with huge volumes of data so as to derive Business Intelligence.

- Analyze data, uncover information, derive insights and propose data-driven strategies.

- Database concepts, principles, structures and best practices.

- Full knowledge of Hadoop Architecture and HDFS.

- Good knowledge of Data warehousing concepts and Business Intelligence, Data management and Data modeling

- Comprehensive understanding of Hadoop/MapReduce ecosystem and architecture.

- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.

- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.

- Experience with Spark, NoSQL databases, such as HBase, Cassandra and MongoDB.

- Knowledge of various ETL techniques and frameworks, such as Flume.

- Experience with various messaging systems, such as Kafka or RabbitMQ.

- Has experience building end to end data pipeline, performance optimization, troubleshooting using the Hadoop tools