NielsenIQ
Technology
Engineer
Neural analysis suggests this role is
optimal for mid candidates.
“Engineer at NielsenIQ. Skills: Machine Learning, Data Engineering, Distributed Systems. Design and implement scalable data pipelines. Develop and deploy machine learning models”
What You'll Achieve.
Improve data processing efficiency; Enhance model accuracy; Deliver robust data solutions
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
3+ years of experience, Bachelor's degree or equivalent experience
Nice to Have
Master's degree or PhD, Experience with large-scale data processing, Experience with cloud platforms (AWS, Azure, GCP), Experience with machine learning frameworks (TensorFlow, PyTorch)
What You'll Do.
Design and implement scalable data pipelines
Develop and deploy machine learning models
Optimize data processing performance
Collaborate with cross-functional teams
Troubleshoot and resolve production issues
Stay up-to-date with new technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product managers
Communication Scope
Technical presentations
Process & Methodology
Agile methodologies
Full Job Description
We are seeking a highly experienced Cloud Engineer to lead the design, implementation, and optimization of multi-cloud solutions across Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS). This role will serve as a technical authority, driving cloud strategy, architecture, and automation initiatives to ensure scalability, security, and operational excellence. Key Responsibilities Cloud Architecture & Design: * Develop and maintain enterprise-grade cloud architectures across Azure, GCP, and AWS. * Ensure solutions meet performance, security, and compliance requirements. Automation & Infrastructure as Code: * Implement automation frameworks using Git and Python for CI/CD pipelines and infrastructure provisioning. * Champion Infrastructure as Code (IaC) practices using tools such as Terraform, Ansible, or similar. Multi-Cloud Strategy & Governance: * Define and enforce best practices for multi-cloud deployments, cost optimization, and governance. * Collaborate with security and compliance teams to maintain regulatory standards. Performance & Reliability: * Monitor and optimize cloud environments for high availability and disaster recovery. * Troubleshoot complex issues across distributed systems and cloud platforms. Leadership & Mentorship: * Provide technical leadership and mentorship to engineering teams. * Influence cloud adoption strategies and roadmap planning at an enterprise level. ## Qualifications * 3-6 years in cloud engineering or architecture roles. * Deep expertise in Azure, GCP, and AWS services and architectures. Technical Skills: * Proficiency in Python and version control systems such as Git. * Strong knowledge of CI/CD pipelines, automation, and Infrastructure as Code tools (Terraform, Ansible, etc.). * Solid understanding of networking, security, and containerization (Docker, Kubernetes). * Soft Skills: * Excellent communication and leadership abilities. * Strong problem-solving and strategic thinking skills. Preferred Qualifications *
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