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5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase.
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Should have certified in Spark from Cloudera or Databricks or Hortonworks. (HDFS, Map Reduce, Pig, Oozie, Yarn). Should have certified in Spark from Cloudera or Databricks or Hortonworks.
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Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel. Familiarity with Linux script-based development environments and tools (Perl, Python, Ruby, PHP, etc. Machine Learning: SparkSQL, Java, Scala, Python, Jupyter.
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At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. Industry experience with Microsoft Server products, network connectivity, UNIX or other operating systems, and database migration to the cloud or SQL Server version upgrades.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Experience in capacity planning, sizing SQL Server environments, and configuring high availability solutions. Monitoring: Collectd, Grafana, Fluentd, InfluxDB, Elasticsearch. We are looking for a Support Engineer 5 to join us as we build cutting-edge technology solutions.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN) Experience with AWS cloud services (S3, EC2, EMR, Redshift, Glue, CloudWatch, Lambda, Athena) Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN.
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Configure and maintain HA of HDFS, YARN (Yet Another Resource Negotiator) Resource Manager, Map Reduce, Hive, HBASE, Kafka and Spark. Should have good knowledge on Cloudera, Hadoop, HDFS, Hive, Oozie, Spark, Python, Scala, Splunk.
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Cloudera Certified Hadoop Developer certification may be substituted for one year of Cloud experience. Cloudera Certified Hadoop Developer certification is preferred. Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
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Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. Drive customer success and instill confidence in the Azure platform.
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Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience. Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase , JMS, Concurrent Programming, Multi-Node implementation/installation.
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3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. 3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume.
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Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase , JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
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