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Experience with using Apache Spark to aggregate and analyze large data sets from various sources. Experience with using the JEMA framework or Apache NiFi to develop data processing workflows.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) Experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases.
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Experience with Apache Airflow and Apache Spark; Spark performance turning. Experience with Apache Airflow and Apache Spark; Spark performance turning. Familiar with PySpark dataframe and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries.
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Experience with Big Data preferably Apache Spark. Experience with Apache Spark. Experience working with Azure, Databricks and Data Factory. Experience with Azure Databricks and Data Factory.
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Data pipelines, Python, Java, Scala, Git, Spark, Hadoop, AWS, Apache Airflow, SQL, React. Workflow management tools, e.g. Apache Airflow. Big data processing, e.g., Spark/Hadoop.
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Experience with distributed data processing frameworks, message brokers, and event streaming platforms (e.g. Apache Beam, Spark, PubSub, Kafka) Our 70 million plus monthly active users make informed shopping decisions in automotive, health, home, powersports, outdoor, and technology on sites like ArcheryTalk , AVS Forum , BimmerFest , Knitting Paradise , and WatchUSeek.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Develop data pipelines and workflows using modern data processing technologies such as Apache Spark, Apache Kafka, and Databricks, to support the processing of large volumes of sensor data from autonomous driving vehicles.
$193,000 - $243,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks. Experience with data integration tools like Apache Kafka, Flume, and NiFi.
$105,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Hadoop, Spark, Hive, and/or other big data technologies. Build data processing and exploration pipelines along with ML infrastructure to power our intelligence using tools like Spark and Flink.
$105,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark). Familiarity with JVM-based function languages including Scala and Clojure; Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading; along with alternative HDFS-based computing frameworks including Spark and STORM are desirable.
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Experience in building big data solutions using Java, kafka messaging, apache spark, solr and Cassandra no sql using cloud based deployment strategy. Experience in building big data solutions using Java, kafka messaging, apache spark, solr and Cassandra no sql using cloud based deployment strategy.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2.
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Pyspark, Apache Spark. Apache, Iceberg, Athena, Kubeflow, Airflow. Apache, Iceberg, Athena, Kubeflow, Airflow. Azure DevOps, Agile Process Management. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
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Apache Spark / Hadoop. At Octo, we specialize in providing agile software engineering, user experience design, cloud services, and digital strategy services that address government's most pressing missions.
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