Azure Cloud Engineer

2 weeks ago

Noida, Uttar Pradesh, India beBeeCloud Full time ₹ 35,00,000 - ₹ 40,00,000
Our Company is a leading player in the field of Property & Casualty (P&C) Insurance and Property Restoration. We are seeking an experienced Senior DevOps Engineer with expertise in Azure Cloud and Data Engineering to join our global team.The successful candidate will work closely with data engineering and IT teams to build and optimize cloud infrastructure, automate deployment processes, and ensure efficient data pipeline operations.Azure Cloud Infrastructure
  • Design, build, and maintain cloud infrastructure on Microsoft Azure to support data engineering workloads.
  • Manage and scale Azure resources including Azure Data Factory, Azure Logic Apps, Azure Windows Functions.
  • Implement and maintain pipelines using Azure DevOps for data workflows and infrastructure automation.
Data Engineering Collaboration
  • Collaborate with data engineers to streamline and optimize ETL/ELT processes.
  • Support and maintain data pipelines for structured and unstructured data using tools like Azure Data Factory and Matillion.
  • Ensure smooth integration of data sources and outputs to data warehouses, such as monitoring and logging.
Security & Compliance
  • Ensure security best practices are followed in the cloud environment, including network security groups (NSGs), Azure RBAC, encryption, and compliance with data privacy regulations.
  • Implement backup, disaster recovery, and business continuity plans for data systems hosted in Azure.
Optimization & Performance Tuning
  • Optimize Azure services for cost-efficiency and performance, including tuning databases, storage, and compute resources.
  • Analyze and enhance the performance of data pipelines, ensuring low-latency and high-throughput for data processing.
Communication & Collaboration
  • Work closely with cross-functional teams, including Data Engineering, Analytics, and IT, to ensure seamless operations across cloud and data infrastructure.
  • Document processes, best practices, and troubleshooting steps to ensure knowledge sharing and operational efficiency.

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