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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with Kafka topics, e.g., reading from / publishing to topics, familiarity with pub/sub integration pattern. Sr. Data Engineer/Architect - Remote. Data Engineering - Databricks - ETL / ELT - PySpark, spark SQL. Experience with RDBMS platforms (One/Many of MSSQL, Oracle, Postgres, etc.
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Expert Agile development practices and good experience at using tools like ADO, JIRA, GitHub Cloud Technologies, Containers (Docker, Kubernetes, Service mesh, Istio), Cloud-Native, Streaming Data tools like Kafka, Snowflake, AI/ML Data Science.
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Strong understanding and/or experience in many of the following, Message streaming solutions, such as AWS Kinesis, AWS SQS, AWS SNS, Apache Kafka, RabbitMQ, Apache ActiveMQ. Our client, a Fortune 500 company operating in the heavy machinery and mining industries , is seeking a Senior Software Engineer only on W2 to join their team.
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Knowledge of Elasticsearch, PostgreSQL, Spark, Hadoop, and data analysis. Job Summary The job works independently to perform a variety of activities relating to software support and/or development.
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These may include various applications/technologies part of a larger data pipeline such as Splunk, Elastic Search, Kafka, Spark, Snowflake, Vertica, TensorFlow, PyTorch, etc. These may include various applications/technologies part of a larger data pipeline such as Splunk, Elastic Search, Kafka, Spark, Snowflake, Vertica, TensorFlow, PyTorch, etc.
$147,700 - $221,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Distributed computing frameworks (FLINK, Apache Spark, Kafka Streams) Strong knowledge of kafka streaming. Message brokers (Kafka, RabbitMQ, Amazon Kinesis) Unix/Linux, event-driven systems, transaction processing, large software systems, security software development.
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Experience with reporting and visualization tools (e.g., Cognos BI, Tableau), advanced Excel functions and modeling, statistical and predictive analytics software (e.g. SPSS, R, SAS), and Hadoop or Python platforms.
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Event Streaming: Kafka/RabbitMQ • Cloud Native: Docker/Kubernetes/Ansible/Helm/AWS/OCP • Frameworks: Reactive Programming/Spring • Cloud migration: CDC / ACLs / Hybrid Deployments • DevOps: Pipelines/CICD/Git/TDD/Automated Testing/Chaos Engineering Must Have: · Java/Spring · Cloud Native: Docker/Kubernetes/Ansible/Helm/AWS/OCP (preferably AWS) · DevOps · Team Lead experience.
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Required] Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc. [Required] Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
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Experience with the ELK (Elasticsearch, Logstash, Kibana) stack, Elastic Cloud on Kubernetes (ECK), Kafka, Beats, and/or Splunk. At least 3 years of experience in software development with COTS integration.
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As part of a fully self-contained teams at CJ you will be developing full stack end to end solutions using languages and technologies like Java, Kotlin, Scala, JavaScript, TypeScript, React, Node, AWS, Serverless, SQL, NoSQL, Kafka, Infrastructure-as-code and more.
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Tools - Docker, Kubernetes (kubectl port-forward), Kafka, Postman, Lens. Understanding of and active participation in the software development life cycle, the software testing life cycle, and contemporary software quality assurance processes.
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Experience with Databricks, Amazon RDS, Oracle, Hadoop/Cloudera, HUE, Hive, Impala. Experience working with data intensive software (such as big data, data warehouses, data lakes). BS degree in Computer Science or certification on software engineering.
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Stay informed about industry trends related to Kafka, Flink, and Kubernetes. They will need expert level expertise with Kafka, Flink, and have a heavy Java application development background.
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hadoop kafka jobs Title: principal software engineer Company: Panalgo in Chicago, IL
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