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Cloud Infrastructure Specialist

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Job Overview

Azure Data Engineer: Drive Business Growth with Expert Cloud Development Skills

Key Responsibilities:

  • Design and implement scalable data infrastructure solutions using Azure services, including Data Lake Storage (Gen2), SQL Server, Data Factory, Logic App, Analysis Services, and Automation accounts.
  • Develop in-depth knowledge of data warehouse and data mart models to design effective reporting layer architectures for enterprise self-service analytics.
  • Deliver high-quality data-driven solutions using advanced SQL queries, Reporting Services (SSRS), and Integration Services (SSIS).
  • Collaborate with cross-functional teams to integrate Azure resources and develop efficient Extract, Transform, Load (ETL) frameworks.
  • Maintain expertise in database management systems, online analytical processing (OLAP), and ETL concepts.

Requirements:

  • Expert-level experience with cloud development infrastructure and a strong understanding of relational design principles.
  • Experience with project management tools like Jira, Confluence, or Easy Vista, and ability to adapt to new tools and work independently or as part of a team.
  • Excellent communication skills and ability to articulate technical ideas to non-technical stakeholders.

Why This Role Matters:

This role plays a critical part in driving business growth by leveraging cutting-edge cloud technologies to deliver data-driven insights and inform strategic decision-making.