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Daily Tasks: Skills in nutshellDrupal, PHP, Angular, Express with Angular Universal, NodeJS Monitoring (PM2), SOLR, Java, AWS Cloud Engineering, AWS Cloud Services, Route 53, Load Balancers, EC2, Acquia CloudAutoscaling groups, Mem Cache, Secrets Manager, CloudFront, Code Deploy, Code Pipeline, VPC, CloudFormation, IAM,Secuirty Groups, S3, CloudWatch, EFS, WebSphere Portal,Ansible, Apache, Ngnix, NodeJS, Varnish, Jenkins, Terraform, LSyncD, Bash Scripting, Splunk.
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Experience with building data pipelines in getting the data required to build, deploy and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
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Proficiency in PySpark, Apache Spark, and related big data technologies for data processing, analysis, and integration. Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi.
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Automates all infrastructure build out in AWS utilizing Ansible, Packer, and Terraform Distributed Systems, Client, Kubernetes (k8s), Sarm, Mesosphere, Docker, Services Discovery, Container Orchestration, DFW, Apache, SPark, Hadoop, CLI, API, DevOps, Consul, vault, and microservice.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Microservices; Apache Kafka; J2EE; Jenkins; Spring; Hibernate; Java; Javascript; Python; SQL; REST; SOAP; Maven; JSON; Dynatrace; Splunk; GIT; Cucumber; Junit; Automated Testing; Manual Testing; Regression Testing; System Integration Testing; and Unit Testing.
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Proficiency in SQL, Python, R, Apache Spark or similar product or language is a plus. Position Overview:The Senior Sales Engineer at Alteryx plays a pivotal role in the sales process by bridging the gap between technical capabilities and customer needs, by translating the Alteryx platform features to customer business value.
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Immediate need for a talented Machine Leaning Cloud Engineer. ML Cloud Engineer. Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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Candidates will be working on the proprietary platform - top skills are core Java, Apache Kafka, Apache Storm, and Ansible. Experience in developing large scale, fault tolerance systems with Apache Kafka, Apache Storm, NoSQL databases or related technologies is desirable.
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Experience with building data pipelines for ML models using tools like Apache Spark, AWS Glue, or other distributed data processing frameworks. Experience with building data pipelines for ML models using tools like Apache Spark, AWS Glue, or other distributed data processing frameworks.
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Skills Required: Requires experience in the following: Angular; Amazon Web Services or Azure; Docker; Java; JSON; Maven; Oracle; React; Selenium; Junit; Microservices; REST; Splunk; Apache Kafka; GIT; Jenkins; SOAP and REST web services; Spring Framework; Cucumber; J2EE; NodeJS; SQL; TypeScript; XML.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Tech: Java, Spring, Angluar/React, Apache/Tomcat, SQL, RESTful API development. Tech: Java, Spring, Angluar/React, Apache/Tomcat, SQL, RESTful API development. Our client is government sponsored financial services organization - providing loans, leases and services to America's agricultural community.
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Minimum 8+ years in Adobe MarTech (Target, Analytics, Launch) and AEM and hands-on experience programming in Web Technologies like JSP, JavaScript, XML, XPATH, AJAX, JQuery, Adobe APIs, Apache Sling, OSGi bundles, Apache Web Server.
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Design and develop production ready software using web, cloud and distributed technologies including Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment. Designing and developing production ready software using web, cloud and distributed technologies including Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment.
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Design and develop solution architectures to scale backend systems using Python, Mulesoft, Java, Spring Boot and rest specifications. Designing and developing solution architectures to scale backend systems using Python, MuleSoft, Java, Spring Boot and rest specifications.
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Distributed Systems, Client, Kubernetes (k8s), Sarm, Mesosphere, Docker, Services Discovery, Container Orchestration, DFW, Apache, Spark, Hadoop, CLI, API, DevOps, Consul, vault, and microservice.
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apache job Title: engineer in Bloomfield, NJ
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