Job Location: BOSTON
We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.
- Ability to solve any ongoing issues with operating the cluster {{unless you are going to have specific Big Data DevOps roles for this}}
- Proficiency with Hadoop v2, MapReduce, HDFS
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming {{if stream-processing is relevant for the role}}
- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
- Experience with Spark {{if you are including or planning to include it}}
- 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
MINIMUM SALARY CAN BE 90K DOLLAR PER ANNUM
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