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At least 2 years of experience with Azure, SQL, Python, Docker/Kubernetes, CI/CD, Git. Drive automation efforts across the data analytics team utilizing Infrastructure as Code (IaC) using Terraform and MSFT Bicep, Configuration Management, and Continuous Integration (CI) / Continuous Delivery (CD) tools such as Jenkins.
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Angular , Javascript, CSS, Nodejs, ASPNET MVC Containerization: Azure Kubernetes Service, Kubernetes (open source), Docker High level programming languages: Java, Server, NoSQL (eg CosmosDB) Test Automation: XamarinUITest, Specflow, Selenium, Postman, Maven, TestNG, JMeter Operating systems: Windows, Linux.
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Oracle Cloud, Azure, AWS, Docker. Experience with Oracle JD Edwards E1 tools: RDA, FDA, BDA, and TDA. This is exciting opportunity for the selected candidate to be part of an enterprise wide JDE upgrade and work in one or more of our software engineering pods after we complete our initiative.
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Experience using software automation tools such as Jenkins, Ansible, and Git. Experience working with containers in Docker and Kubernetes. Role:A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Knowledge of micro services architecture and containerization (e.g. Docker, Kubernetes) Familiarity with Agile process and scrum of scrum framework Requirements Do you hold minimum 7 years of relevant experience in the following tech skills - Java, Spring boot (3 years), React JS (3 years), Microservices (3 years), MySQL.
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Hands-on development skills key technologies such as Java/Groovy, Ansible, Infrastructure-as-Code, Docker, Cloud Kubernetes, AWS Lambda/Azure Functions, NoSQL such as MongoDB or DynamoDB. Hands-on development skills key technologies such as Java/Groovy, Ansible, Infrastructure-as-Code, Docker, Cloud Kubernetes, AWS Lambda/Azure Functions, NoSQL such as MongoDB or DynamoDB.
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Experience using tools for infrastructure as a code (e.g., Terraform, Docker, CloudFormation, etc.) Strong technology background in two or more database technologies Relational (Oracle, SQL Server, MySQL), NoSQL (MongoDB, Cassandra, Graph DB) and Cloud Databases (Aurora, Dynamo, Elastic Cache etc.
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Hands-on experience with technologies like Containers, Docker, Kubernetes, and Microsoft Azure is strongly preferred. Analyze data lineage and prepare Data Flow Diagrams (DFD) and other Unified Modeling Language (UML) diagrams using Lucid Charts or similar tools to support the development and solution design.
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Development experience with container orchestration systems such as Docker, Kubernetes. Experience in building Django / Flask based App server, API development. Good understanding of Javascript, React, HTML, CSS is a plus.
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Docker, Serverless, ECS, Kubernetes. Skilled in deployment strategies using Docker for containerization. Expertise in AWS cloud networking resources (VPC, Transit Gateway, Security Groups, NACLs, Nat Gateway.
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Work on debugging and resolving technical issues specific within various cloud environments like Amazon Web Services, Google Cloud Platform, Microsoft Azure, Docker, and Kubernetes. Extensive experience in a customer facing role with as a Customer Success Engineer or Technical Account Engineer with a background as DevOps Engineer, SRE, Cloud Infrastructure Architect or Solutions Architect.
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Experience with Linux, Kubernetes, Docker, Python and encryption technologies like HSM, KMIP, PKI, JCE is preferred Ability to work in a highly fast paced, rapid growth environment. public cloud, on-premise, hybrid cloud, and SaaS. With key strategic partners like Microsoft, Intel, ServiceNow, and Snowflake, Fortanix customers like PayPal, Google & Adidas are reaping the benefits.
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Experience with Docker, Kubernetes, and AWS cloud services. Experience with Container (Docker) and Container orchestration platforms like Kubernetes. Experience with Docker, Kubernetes, and AWS cloud services.
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Knowledge of Docker and deploying containerized application to Kubernetes is a must. AWS Cloud, Kubernetes, Shell Scripting, Python. Strong work experience in cloud environments(AWS/Azure/GCP) and deploying containerized applications in Kubernetes.
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Azure Expereince with Docker and Maven. Experience In Docker, Maven, Npm And Other Package Managers. Experience with infrastructure automation tools (Terraform, Packer, Puppet, Ansible etc.
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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