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Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using Jenkins, ansible, rundeck, Jfrog artifactory.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable. Experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
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As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
$130,000 - $220,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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1 year of experience with technologies such as Kafka, RabbitMQ, SQS, Ansible, Terraform, Docker and Kubernetes, Jenkins, Spinnaker, Azure DevOps, TeamCity. 1 year of experience with technologies such as Kafka, RabbitMQ, SQS, Ansible, Terraform, Docker and Kubernetes, Jenkins, Spinnaker, Azure DevOps, TeamCity.
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Kubernetes Experience – Strong knowledge in Kubernetes deployment frameworks\platforms including Helm, Docker, Rancher, OpenShift, EKS. Kubernetes Experience – Strong knowledge in Kubernetes deployment frameworks\platforms including Helm, Docker, Rancher, OpenShift, EKS.
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Design, create, and maintain data pipelines using Apache Airflow, Apache Spark, Docker, and Python. When relevant we extract specific domains to Services currently using Java, Kotlin and Go. We also use Docker, deploy our apps via Kubernetes.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Scripting and DevOps: Bash/Shell, Jenkins, docker CHEF, Ansible and Bitbucket. ITSM tools BMC Remedy Helix, Jira. Middleware: IBM MQ, Kafka (broker, connector mirrormaker) and Tibco FTL. Scripting and DevOps: Bash/Shell, Jenkins, docker CHEF, Ansible and Bitbucket.
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DevOps: Experience with virtualization, containerization and automation tools including Docker, Docker Compose, version control systems such as git, CI/CD Systems and IAC (Pulumi, Terraform.
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Build, test, and administer highly available container application platform clusters (e.g., RedHat OpenShift, Kubernetes, Docker Datacenter, etc.) Experience working with container technologies (such as Docker and Kubernetes.
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Experience with cloud automation, including CD/CI pipelines using PowerShell, ARM, Terraform, Kubernetes, Jenkins, Docker, GitOps, Azure DevOps. Experience with cloud automation, including CD/CI pipelines using PowerShell, ARM, Terraform, Kubernetes, Jenkins, Docker, GitOps, Azure DevOps.
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