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Hands-on experience and intermediate understanding of Infrastructure as Code (Terraform, AWS CloudFormation), CI/CD, VCS, and DevOps (Docker, Kubernetes, Ansible) technologies and associated concepts, tools, and best practices.
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Hands-on experience and deep understanding of Infrastructure as Code (Terraform, AWS CloudFormation), CI/CD, VCS, and DevOps (Docker, Kubernetes, Ansible) technologies and associated concepts, tools and best practices.
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Keywords:Des Plaines IL Jobs, AWS Infrastructure Engineer, Linux, AWS Hosting Management, Infrastructure, Cobbler, Ansible, Bash, Python, Engineering Linux, Cloud, Data Center, Linux Kernel, Magento, eCommerce Solutions, Work From Home, Remote,Illinois Recruiters, IT Jobs, Illinois Recruiting.
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Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer). Manage data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud Platform.
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Lead a team of engineers to develop data pipelines, ETL processes, and data storage solutions. Data storage solutions. Title: Data Engineer - Remote. Work from Home Policy: Fully Remote.
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Data lake houses (Databricks or Snowflake) Key Skills: 6+ years of experience in data engineering, Azure, ETL. Cloud-based data platforms such as AWS, Azure, or Google Cloud Platform. Drive innovation and continuous improvement in data engineering practices.
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Containerization and orchestration tools such as Docker and Kubernetes. Framewords such as Hadoop, Spark, Kafka, etc. 6+ years of experience in data engineering, with at least 2 years of experience in a leadership or managerial role.
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Strong project management skills, with experience in managing complex data engineering projects from conception to completion. Collaborate with senior leadership to define data engineering strategy, roadmap, and priorities.
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Define and implement best practices, standards, and processes for data engineering. Manage projects to ensure successful delivery of data engineering projects. Solid understanding of data modeling, schema design, and data governance best practices.
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AWS Technologies: RDS, Lambda, SNS, SQS, AppSync, EventBridge. Oversee data modeling, schema design, and data governance initiatives. Ensure adherence to industry standards and compliance with data governance policies.
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Pay/Salary/Benefits/Perks: Up to $150k/yr. Python or similar languages for data manipulation, scripting, and automation. Lead troubleshooting efforts and resolve complex technical issues. Excellent communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders.
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Provide technical guidance, mentorship, and support to team members. Interview Process: Streamlined process, 3 interviews. Proven leadership and team management skills. Master's degree in a related field.
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Responsibilities: Configure and manage the integration of vulnerability scanners (including Rapid7, Qualys, Tenable, and others), SIEM, asset management systems, ticketing systems, vulnerability aggregation platforms (e.g., Brinqa, Vulcan, Nucleus, Kenna, and similar platforms), cloud-based vulnerability scanning solutions, and data center vulnerability scanning solutions.
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IT and telecommunication projects in at least (4) four of the following areas:Windows or Linux server system administration (e.g., 2K3, 2K8, 7, 10, various Linux flavors),Integrating GOTS/COTS/open-source solutions,Virtualization technology experience (e.g., VMWare, Zen, Citrix, KVM), networking and TCP/IP protocols (e.g., CISCO, Juniper),Storage technologies (e.g., SAN, NAS, Fiber Channel, iSCSI, NFS),Remote access (e.g., Juniper SSL VPN), or other IT infrastructure technologies.
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Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
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