Proficient understanding of distributed computing principles and data architecture
Management of Hadoop cluster, with all included services
Ability to solve any ongoing issues with operating the cluster
Proficiency with Hadoop v2, MapReduce, HDFS
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 Apache Spark
Experience with integration of data from multiple data sources
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge of various ETL techniques and frameworks, such as Flume
Experience with various messaging systems, such as Kafka or RabbitMQ
Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with Cloudera/MapR/Hortonworks