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Implement and support streaming technologies such as Kafka, Spark, Cassandra & AzureML. and big data ecosystems (Kafka, Cassandra, etc. Assist in the development of a big data platform in Hadoop using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Streaming Data Pipelines: Architect and develop robust real-time data streaming pipelines using technologies such as Apache Kafka, Apache Flink, or Apache Spark Streaming, ensuring low-latency and high-throughput processing.
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Languages: Golang, Python, Django, Kafka, Vue. Languages: Golang, Python, Django, Kafka, Vue. Concepts: RESTful API's, GRPC, Kubernetes, Git, GitOps, Protobuf, AI (Artificial Intelligence), ML (Machine Learning.
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They're taking streaming beyond Apache Kafka into a unified "engine of record." They're taking streaming beyond Apache Kafka into a unified "engine of record." developer, perl, php, sdet, software programmer, sw.
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Middleware solutions (e.g. IBM MQ, Kafka, Confluent). We really need a VMWare engineer with Ansible, Puppet, Terraform and Chef. Automation of infrastructure delivery with configuration orchestration and management solutions (e.g. Ansible, Puppet, Terraform and Chef.
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2+ years of experience with cloud and micro-service architecture and development including but not limited to: K8S, K3S, Openshift, Podman, Kafka. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
$119,000 - $222,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Containerization of applications, preferably with an emphasis towards Kubernetes, specifically OpenShift. Compute virtualization for both in-house developed and commercial off the shelf software leveraging VMware's technology stack and converged storage solutions utilizing Pure Storage.
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Configure and maintain systems including but not limited to Kubernetes (EKS and ArgoCD), Kafka, Spark, ElasticSearch/OpenSearch. Your expertise in Python, SageMaker, Spark, CI tools, SQL, Kafka, Kubernetes, and ArgoCD will be the driving force behind setting up fully automated CI/CD pipelines, solving operational challenges, and ensuring the optimal performance of complex systems.
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Big Data Infrastructure Design: Design, architect, and implement scalable and efficient big data infrastructure, including data lakes, data warehouses, and streaming data platforms, leveraging technologies such as Hadoop, Spark, Kafka, and more.
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Experience in configuring and testing messaging services, especially RabbitMQ, Kafka, or AMQP. Experience with infrastructure automation (Terraform, Ansible, etc.) Experience in configuring and testing messaging services, especially RabbitMQ, Kafka, or AMQP. Experience with infrastructure automation (Terraform, Ansible, etc.
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Storage Engines: Vespa, Postgres, Bigquery. Hosted Services: GCP (Google Cloud Platform) develop, developer, devops, java, perl, software engineer, software programmer. A major part of your role will involve crafting user flows, process flows, and architectural diagrams to convey interaction and developmental ideas, and you'll be expected to advocate for and defend your designs and deliverables to both peers and executive stakeholders.
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Modern Tech Stack: We leverage the power of AWS, Scala, Kubernetes, Kafka, and GraphQL to build innovative solutions. Streaming & Monitoring: Familiarity with Kafka for real-time data streaming and Open Telemetry for distributed tracing.
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Build automation for CI/CD and SaaS delivery on AWS, Snowflake and Databricks. Radian is a fintech servicing the mortgage and real estate services industry. Radian has also pledged to PwC's CEO Action for Diversity & Inclusion commitment.
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Experience with asynchronous processing and/or data streaming technologies, such as AWS Kinesis, Kafka, or ZeroMQ, KNative. As a DevSecOps Engineer, you will manage the cloud security implementation for multiple cloud environments to include AWS, Azure, and classified platforms.
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Experience with big data technologies such as Spark, Kafka, or similar. The Tech Lead - Data & Customer Interface will report directly to the VP of Operations. Utilize expertise in reporting tools such as Power BI, Tableau, and Salesforce to create insightful and actionable reports for stakeholders.
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kafka job in Lawrence, MA
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