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Big Data Developer

Montreal, Quebec  - Permanent

Job Description

Our client is one of the first networks devoted to helping B2B enterprise. Our first-of-its-kind Sales Analytics platform combines a proprietary, self-learning network with applications that is ready to use, data backed, and built on predictive analyses.

We are looking for a Big Data Engineer Lead who will be responsible for developing and implementing a highly scalable Hadoop cluster for our enterprise applications. You will work closely with developers and architects to deploy new Hadoop infrastructure, resolve cluster and job performance issues. This position requires someone who is hands on and passionate about Big Data along with new technologies, a strong problem-solver, and a team collaborator who enjoys continuing learning

Must Have Skills:

•6+ years of experience with the Hadoop ecosystem and Big Data technologies
•Hands-on experience with the Hadoop stack (HDFS, Hbase, Hive, Apache Spark, Scala, Java, Phoenix, Impala)
•Experience building secure, highly-scalable, reliable, and performant big data platforms to consume, integrate and analyze complex data using a variety of open-source platforms and tools.
•Hands on experience with messaging system Kafka and scripting and automation skills in Java or Python
•Knowledge of handling petabyte scale data loads and implementing OLAP and OLTP systems.
•Hands On experience with implementation of distributed computing systems and architecture and tools such as Apache Storm, Akka
•Experience developing Hadoop integrations for data ingestion, data mapping and data processing capabilities
•Familiarity with cloud computing infrastructure (e.g. AWS, GCP) and considerations for scalable, distributed systems
•Experience with Cloudera distributions is a plus and so is experience with graph database such as Neo4J
•Prior experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R) is helpful

Starting: ASAP
Travel: 10%
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