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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Experience with data streaming technologies (e.g., Apache Kafka, Apache Flink) and real-ime data processing. Streaming Data: Manage streaming data sources and implement real-time data processing solutions using tools like Apache Kafka or similar technologies.
$150,900 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Develop and design end-to-end data solutions leveraging Azure, GSP, Data Bricks, BigQuery, and Kafka streaming technologies. Strong proficiency in Azure, GSP, Data Bricks, BigQuery, Kafka streaming.
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Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink, Beam) [Full Time] Senior Software Engineer - Streaming at TRM Labs (United States) | BEAMSTART Jobs Senior Software Engineer - Streaming TRM Labs United States.
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Hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
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Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability, and SLA adherence.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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We are seeking builders for our Amazon MSK service, a fully managed service that makes it easy for customers to build and run applications that use Apache Kafka to process streaming data.
$134,500 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Management experience in : NOSQL, Cassandra, MongoDB, Oracle, DB2, SQL Server, Event Streaming, Kafka, MSK, Azure Event Hubs. Experience in building reusable data publishing frameworks that handles large volume of data in real time and batch manner (Kafka Streams, Apache Flink.
$123,165 - $159,390 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway. 5+ years of designing, and developing utilizing common AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Leads the design and build of scalable data pipelines and solutions (batch and/or streaming) that make the best use of traditional and cloud platforms (AWS or similar) by understanding the business, technology, and data landscape including real time data processing.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Nice to have technical skills include Azure Key Vault Azure Data Lake Azure Monitor Kafka Databricks Workflow Structured Streaming Delta Live Pipelines Databricks Unity Databricks CLI and Databricks Workspace.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub.
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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase.
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We use Apache Airflow, Python, and Apache Spark for ETL. For streaming data, we use Apache Kafka managed by a vendor and use Kafka Connect, Kafka Streams, and Spark Streaming for stream processing.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Develop, debug and support streaming data in Kafka and Databricks environments. Develop, debug a, and support applications and data pipelines for big data analytics platforms in Azure Databricks, Kafka, Neo4j.
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