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Certified AWS Cloud Practitioner is strongly preferred. We're driving the company's digital transformation and modernization initiatives and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Additional Information Morning Shift
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Work with tooling such as Ansible, Docker, Podman, Packer, Kubernetes, and Terraform to create cloud-based infrastructure utilizing AWS or Azure implementations. Knowledge of AWS Cloud DevOps services such as IAM, VPC, ECS, Lambda, RDS.
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Experience with Cloud technologies with cloud providers AWS, Azure, GCP etc. Solid understanding of Cloud Computing and DevOps concepts including CI/CD pipelines. Create and maintain managed resources provided by cloud service providers, including secrets management, monitoring, logging, security scanning, and other services.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions. The candidate will be responsible for building and supporting an end-to-end data pipeline, which includes both on-prem and cloud components.
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Cloud infrastructure, PAAS , IAAS, IAC, Power shell, Terraform, Experience working with containers, Docker, Kubernetes, Fluency with relational databases, exposure to Java Spring boot technologies, experience in migrating Java Sporing Microservices RDBKS On-prem apps to AWS cloud.
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Demonstratable experience in threat detection and mitigation involving platforms like EDR, OSINT, Log Analytics, Network, and Cloud. Knowledge of cloud security principles and practices, particularly in AWS, Azure, or GCP environments.
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This Cloud Infrastructure Engineer should have practical experience in administration of Microsoft Azure and other cloud technologies such as GCP. A strong familiarity with compute, network, and storage in Azure, as well as Azure Active Directory, part of Microsoft Entra.
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Directly manage and mentor two direct reports supporting Salesforce Marketing Cloud initiatives, a Salesforce Marketing Cloud Developer and Email Marketing Specialist. We are seeking an experienced Marketing Automation Manager that will be the Technical Owner and Digital Product Manager for our Salesforce Marketing Cloud implementation.
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Whether you have experience as a customer service associate, retail team member, cashier, restaurant server, kitchen lead, cook, prep cook, drive-thru cashier or any other restaurant or service-oriented role - we have a position for you.
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Relevant hands on experience in the engineering and administration of Microsoft Azure and other cloud technologies such as GCP. Work closely with the Information Security, Engineering and Operations and other cross functional teams in the assessment, design and implementation of robust cloud security solutions across major cloud providers such as Azure and GCP.
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5+ years' experience in cloud-native architecture design and implementation of distributed, fault-tolerant enterprise applications in laaS, Paas, or SaaS solutions with a strong preference/emphasis on Azure cloud platform and Snowflake database solution.
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Hands on experience with AWS Cloud, Databricks, Unity Catalog, Python, PySpark, Scala, HIVE, Bigdata/Hadoop, and Shell scripts is required. Good working knowledge of Amazon Web Services (AWS) Cloud Platform which includes services like EC2, S3, ELB, Auto Scaling, EC2 Container Service (ECS.
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