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Strong experience with big data technologies such as Spark, Kafka, Kinesis, Airflow, Hadoop, Hive, Databricks, Snowflake etc. Strong experience with big data technologies such as Spark, Kafka, Kinesis, Airflow, Hadoop, Hive, Databricks, Snowflake etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge and/or experience in working with SQL on Hadoop tools and technologies including HIVE, Impala, Presto, others from an open source perspective and Hortonworks Data Flow (HDF), Dremio, Informatica, Talend, others from a commercial vendor perspective.
ExpandApply NowActive JobUpdated 11 days 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 11 days ago - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka. As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
Work from homeExpandApply NowActive JobUpdated 3 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 big data tools (e.g., Hadoop, Spark) and real-time data processing technologies (e.g., Kafka). Like TikTok tailors to one's sense of humor, this platform personalizes the user experience by curating product recommendations and content based on individual aesthetic preferences.
ExpandApply NowActive JobUpdated 11 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 18 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.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience or knowledge of basic programming (SQL, R, Python) and Data management technologies (Hadoop, Spark, Kafka, MongoDB, Redis, Couchbase, AirFlow, MySQL etc.) Content Viewership Data, Engagement Metrics Development, Content Metadata Management and Business Stakeholder enablement are some of the key day-to-day functions this role is responsible for across brands like Disney+, Hulu, ESPN+, STAR+, Marvel Studios, ABC News etc.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with Git, Hadoop/Spark, Kafka, relational databases, dockers. Experience with Git, Hadoop/Spark, Kafka, relational databases, dockers. Experience with real-time fraud detection systems.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment. Experience with distributed system such as Spark/Flink/Kafka/Cassandra.
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Knowledge on Leveraging Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka, and other things in the Hadoop ecosystem.
ExpandApply NowActive JobUpdated 6 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.
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hadoop kafka jobs in Los Angeles, CA
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