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Job #653 - Software Engineers for Big Data-Java, Hadoop, MadReduce, Pig, HBase etc - junior to Architect levels
Java/J2EE, Web Application Development - Full Stack, Big Data/Hadoop/MapReduce/Data Scientists/Software

Salary range:
$75,000 - $150,000

Boston, Massachusetts

Tremont St Startup with 150 employees, looking to double in 2015.

Hiring across all levels of the company (get in touch if you are interested in scala, java, mobile ios, android, devops or javascript ui work)

This group is a a Big Data group with 5 openings from a junior candidate to an Architect level candidate.

"In a nutshell, I'm looking for someone who has worked on a "big data" system using cutting edge technologies. We are hiring all levels of experience, but our pipeline for more junior engineers is looking good, but we could hire a few more. I need someone who can help me carry the load with actual real world experience. If they come from a big company, I would like for them to have an intrapreneurial spirit or at least some level of irreverence -- culture fit is very important. This person should NOT be a database or datawarehousing person. The fact of the matter is that when working with sufficiently large amounts of data -- it becomes much more about writing software and automation.

This person could have technologies such as the following on their resume:

Hadoop, MapReduce, Tez, Spark, Spark Streaming, Hive, Impala, Pig, Cascading, Scalding, YARN, Storm, Samza, Millwheel, Kafka, Cassandra, DynamoDB, Kinesis, Boto, Zookeeper, HBase, Elastic MapReduce, Avro, Parquet, ORC, SQS, S3, Flume.

We would prefer folks that have worked in the cloud, whether it is AWS or the Google Cloud -- but this is not required.

What languages they know is not as important, but I would expect the person would know Java, Scala, or Python if they worked with the above technologies."

Sound interesting? Drop me a line to learn more - scott@biviumgroup.com

keywords - big data software engineer, java, scala, python, scott dunlop, bivium group, Hadoop, MapReduce, Tez, Spark, Spark Streaming, Hive, Impala, Pig, Cascading, Scalding, YARN, Storm, Samza,

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