Posted:2 days ago|
Platform:
On-site
Full Time
Role Description Azure Infrastructure Consultant – Cloud & Data Integration Experience: 8+ Years Employment Type: Full-Time Industry: Information Technology / Cloud Infrastructure / Data Engineering Job Summary: We are looking for a seasoned Azure Infrastructure Consultant with a strong foundation in cloud infrastructure, data integration, and real-time data processing. The ideal candidate will have hands-on experience across Azure and AWS platforms, with deep knowledge of Apache NiFi, Kafka, AWS Glue, and PySpark. This role involves designing and implementing secure, scalable, and high-performance cloud infrastructure and data pipelines. Key Responsibilities: Design and implement Azure-based infrastructure solutions, ensuring scalability, security, and performance. Lead hybrid cloud integration projects involving Azure and AWS services. Develop and manage ETL/ELT pipelines using AWS Glue, Apache NiFi, and PySpark. Architect and support real-time data streaming solutions using Apache Kafka. Collaborate with cross-functional teams to gather requirements and deliver infrastructure and data solutions. Implement infrastructure automation using tools like Terraform, ARM templates, or Bicep. Monitor and optimize cloud infrastructure and data workflows for cost and performance. Ensure compliance with security and governance standards across cloud environments. Required Skills & Qualifications: 8+ years of experience in IT infrastructure and cloud consulting. Strong hands-on experience with: Azure IaaS/PaaS (VMs, VNets, Azure AD, App Services, etc.) AWS services including Glue, S3, Lambda Apache NiFi for data ingestion and flow management Apache Kafka for real-time data streaming PySpark for distributed data processing Proficiency in scripting (PowerShell, Python) and Infrastructure as Code (IaC). Solid understanding of networking, security, and identity management in cloud environments. Strong communication and client-facing skills. Preferred Qualifications: Azure or AWS certifications (e.g., Azure Solutions Architect, AWS Data Analytics Specialty). Experience with CI/CD pipelines and DevOps practices. Familiarity with containerization (Docker, Kubernetes) and orchestration. Exposure to data governance tools and frameworks. Skills Azure,Microsoft Azure,Azure Paas,aws glue
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