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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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In the Java track, we will cover JAVA, AWS, MERN STACK, HADOOP. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
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Familiarity with data visualization tools such as Tableau or Power BI. BS degree in one of the following preferred: Data Science, Computer Science, Software Engineering, Software Development, Programming & Software Development, Computer Science, Computer Systems Engineering or Industrial.
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Data sources including but not limited to SQL Server, GCP, SAP, Teradata, Hadoop\Hive, PostgreSQL, Oracle and flat files. 2+ years big data experience, Hadoop, Hive, Spark. Sr. Data Engineer (GCP BigQuery with DataFlow, Data Form, DataStudio and Looker.
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Experience with multiple large-scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster setup, security, performance tuning, and monitoring.
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Apache Spark Cloudera CCA Spark and Hadoop Developer CCA175. Apache Spark Cloudera CCA Spark and Hadoop Developer CCA175. Apache Spark Databricks Certified Developer Apache Spark 2X. Knowledge in other messaging systems such as IBM MQ or Rabbit MQ tools Jira Confluence and Bitbucket GIT Ansible Jenkins automation development scripting languages shell and python.
$93,815 - $142,400 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Familiarity with the modern data open source ecosystem (Apache Hadoop, Flink, Presto, Hive, Kafka, TensorFlow, PyTorch etc) Familiarity with the modern data open source ecosystem (Apache Hadoop, Flink, Presto, Hive, Kafka, TensorFlow, PyTorch etc.
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AWS, Snowflake, Hadoop, Databricks, Spark, R, Python, SQL. - Hadoop-based technologies like MapReduce and Spark. AWS, Snowflake, Hadoop, Databricks, Spark, R, Python, SQL. Python, SQL, Databricks, Spark.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. The Red Gate Group is seeking a TS/SCI cleared Site Reliability Engineer to support the Defense Threat Reduction Agency (DTRA) in Reston, VA.
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Overall 8+ years of experience as developer in Big data technologies like Databricks/Spark and Hadoop ecosystems. Develop and optimize ETL processes using Databricks and related tools like Apache Spark.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus. Your expertise in Airflow, DBT, and Databricks will be essential in optimizing our data workflows and enabling advanced analytics and insights.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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