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Expertise in cloud-based data platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark, Kafka). Expertise in cloud-based data platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark, Kafka.
$180,646 - $265,430 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc) Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc.
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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Learn model-driven operations with Juju charms for Kafka, Hadoop, PostgreSQL, MongoDB, NGINX, and more. Demonstrate advanced Infrastructure as code (IaC) techniques relevant to telco. Fully remote working environment - we've been working remotely since 2004.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Expertise in MPP and SaaS Data Products like Snowflake, Redshift etc. Experience in the media/entertainment industry. On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption) If you have questions about the position, please contact Annaliese Mueller at Annaliese.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data Engineering technologies (Ex: Spark, Hadoop, Kafka) 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.
$139,700 - $247,300 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with OSS technologies, like Elasticsearch, Kafka, and Redis, is highly preferred. Experience with Big Data related component operation and maintenance, including Hadoop, Yarn, HBase, Hive, Spark, etc., is highly preferred.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience. Customer Engagements – Conduct workshops with senior M&E executives in the Ad Ops, Ad Tech, and Ad Product organizations to capture their current state and envision solutions for accelerating their optimizations in a quantifiable manner.
$122,900 - $239,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Must have 6 months of experience in any two of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark, Kafka, Dremio, AWS, Azure Platform, Google Cloud Platform, Cloudera, Hortonworks, Oozie, NoSQL, HBase, Elasticsearch, Cassandra, Flink, Flume, Snowflake, Redshift, EMR, Neo4j.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with data integration tools like Apache Kafka, Flume, and NiFi. Experience with Hadoop, Spark, Hive, and/or other big data technologies. Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks.
$87,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with the Big Data technologies is a plus (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc) Experience with the Big Data technologies is a plus (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.
$129,960 - $341,734 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Understanding of one or more common business intelligence platforms – Teradata, Big data/Hadoop/Spark, data lakes, Machine learning using Python/Spark, Tableau, Real time streaming data using Kafka and data ingestion tools (Abnitio, Talend etc.
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Experience with big data technologies such as Hadoop, Spark, Kafka, etc. Experience with data visualization tools such as Tableau, Power BI, etc. As the Lead Data Engineer, you will play a pivotal role in our organization's data strategy.
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Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Spark, and agile development practices.
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hadoop kafka jobs in Culver City, CA
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