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Exposure to Apache Spark, Apache Hadoop, Apache Kafka, AWS Services, Azure Services, Microservice Architecture, Databricks. Exposure to Apache Spark, Apache Hadoop, Apache Kafka, AWS Services, Azure Services, Microservice Architecture, Databricks.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake.
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Design, develop and deliver Java-basd APIs and Microservices using Spring Boot, AWS and Streaming technologies like Kafka. Exposure to ETL and Data Engineering tools like Mulesoft, StreamSets & Databricks.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred) Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
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Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus. Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus. Strong programming experience with Python, Tensorflow, Scikit-learn, CUDA and pandas.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Relevant Technologies: Java, GraphQL,OpenAPI, Kubernetes, AWS, terraform, Kafka, Flink, ElasticSearch, Mongo, Kotlin. Relevant Technologies: Java, GraphQL,OpenAPI, Kubernetes, AWS, terraform, Kafka, Flink, ElasticSearch, Mongo, Kotlin.
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Knowledge of python frameworks and libraries, including Pytest, Pandas, Flask, Kafka. Experience with financial concepts, ideally in market risk domain, e.g. exchange-traded and derivative products, pricing of financial instruments, risk measurement and attribution, quantitative finance models.
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We were the first team to introduce Kafka, Avro,pany-wide Dataset Schema Registry, Mesos, Clustered MySQL, Vitess and Spark for ETL, at Bloomberg for designing this new data intensive platform that is the hub of financial datasets.
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We use Airflow and Spark for ETL, as well as do some stream processing (Kafka Streams and Spark at the moment). We use Kafka for asynchronous-, and gRPC for synchronous service-to-service communication.
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Has experience on teams that have used AWS/GCP, Kubernetes, Content Delivery Networks, event messaging systems such as Kafka. Has experience on teams that have used AWS/GCP, Kubernetes, Content Delivery Networks, event messaging systems such as Kafka.
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Experience working with MQ, Tibco, Apache Kafka or Solace messaging software and any RDBMS. · 10+ years of experience in application development using Java, SQL and at least one messaging platform (MQ/ TIBCO/ Kafka/ Solace.
$120 - $130 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with real-time messaging middleware (Kafka, RabbitMQ, Solace, Tibco, JMS, TIBCO, Kafka. Experience with real-time messaging middleware (Kafka, RabbitMQ, Solace, Tibco, JMS, TIBCO, Kafka.
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Expertise in backend programming and have high experience on integrating middleware components like MQ, Solace, Kafka etc. Experience with Integration patterns and messaging technologies (MQ, Solace, Kafka, RabbitMQ.
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As an Azure Integration Services Developer, you will play a crucial role in designing, developing, and maintaining integration solutions using Azure Logic Apps, Java Spring Boot, and Kafka. Familiarity with Kafka for event-driven architecture and real-time data processing.
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kafka job in Newark, NJ
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