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Experience creating streaming pipelines using technologies such as Kafka, Azure Event Hub, AWS Kinesis, etc. Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies.
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Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build. Experience using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.
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Experience in creating dashboards and visulatons utilizing popular BI tools such as Tableau, Power BI, or Looker. Experience with at least one major cloud platform (i.e. Azure, AWS, or Google Cloud) Back-up child care, Pet insurance, a Member Assistance Program, a 529 college savings program, a personal financial management tool, lifestyle management programs and more.
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Experience delivering real-time data applications using streaming data technologies like Apache Kafka, Google Cloud Pub/Sub, or Amazon KinesisExperience using Google Cloud Platform, particularly serverless (Cloud Functions) and platforms (Dataflow, BigQuery, DataProc, DataForm) Bonus Qualifications: Familiarity with data visualization tools, such as Tableau, Power BI, or Looker.
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Kafka, Docker, Jenkins, Spinnaker, SRE. Job Title : Kafka SRE. Exposure to messaging pub/sub systems Kafka. Kafka, Docker, Jenkins, Spinnaker, SRE. Extensive experience of using CI-CD tools like GIT, Docker, Jenkins, Ansible, Spinnaker etc.
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Experience with distributed data streaming frameworks like Spark Structured Streaming, Apache Flink, Kafka, etc. Experience with AWS (API Gateway, RDS, Redshift, S3, SQS, SNS, SES, Route 53, CloudFront, CloudWatch), React, TypeScript, Terraform, and Linux.
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We utilize proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. Experience developing Big Data applications using java, Spark, Kafka is a huge plus! We utilize proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc.
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Message Streaming: Familiarity with message stream processing using Apache Kafka or Apache Pulsar, contributing to real-time data handling and analysis. Backend Development: Experienced with Python Django/Flask or Java Spring Boot.
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Relevant data technologies: Apache Arrow, DataFusion, Flink, Beam, Kafka, D3. The Nominal team comes from commercial companies like SpaceX, Palantir, Anduril, Lockheed Martin, and NASA and is active amongst customers in aerospace, defense, industrial, and advanced energy applications (autonomous aviation, eVTOL/VTOL, flight testing, satellite development, etc.
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You should be proficient in React, GraphQL, Typescript, Eventing, Experimentation, and monitoring and observability with a working knowledge of Kotlin, GRPC, protobuf, and Kafka. Applying Kotlin, GRPC, protobuf, and Kafka to ensure projects are delivered with quality and on time.
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Technologies we use include React, Javascript, TypeScript, Cypress, Go, PostgreSQL, Redis, Kubernetes, Kafka, Quicksilver. Technologies we use include React, Javascript, TypeScript, Cypress, Go, PostgreSQL, Redis, Kubernetes, Kafka, Quicksilver.
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Our team uses the following tools and technologies; Kubernetes (AWS EKS), CircleCI, Jenkins, GitHub, Vault, Terraform, Consul, AWS RDS (MySQL, Postgres), Cassandra, Redis, FluentD, Apache/Django/Flask, Kafka, Spark, FluentD, Graylog, Datadog, and others.
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Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based data services like AWS Lakeformation, Glue and Athena. Strong experience with big data technologies such as Spark, Kafka, Hive, and distributed computing frameworks.
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Net Core, Micro Services, MongoDB, Kafka, Swagger, Cloud - OpenShift or other open source Cloud deployment. Net Core, Micro Services, MongoDB, Kafka, Swagger, Cloud - OpenShift or other open source Cloud deployment.
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Understanding of DevOps and AWS. Desired: Experience with other technologies used including Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus.
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kafka job Company: Crowdstrike in Austin, TX
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