Sr. Cloud Engineer

Required Experience:

• Azure Platform Experience:
  • Should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI.
  • Should be able to design, build, and maintain ETL pipelines, manage Data Lakes and create insightful reports and visualizations.
  • Experience with Azure SQL Database, Azure Synapse Analytics, Azure Cosmos DB, Azure Client, other Azure services is a plus.
  • SQL skill is a must to have and Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services.
  • Develop ETL processes, optimize data pipelines, and ensure data quality and security.
  • Collaborate with teams to deliver scalable data architecture supporting analytics and business intelligence.
• Security on Azure Platform:
  • Should have a strong understanding of security protocols within the Azure platform.
  • This includes knowledge of identity and access management, network security, encryption methods, secure data communication, and securing serverless architectures.
• Data Governance:
  • Should have experience in implementing data governance strategies.
  • This includes setting up data governance frameworks, defining data ownership,ensuring data quality, and implementing data privacy and compliance measures.
  • Knowledge of data cataloging, data lineage, and metadata management is also important.
• Certifications: Azure Certifications such as Azure Security Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Azure Databricks Data Engineer Professional Certificate

Required Skills:

• Ability to intrepid, modify and write scripts and SQL queries
• Apps/.Net Developer
• Azure Cloud Data Engineer
• Azure Databricks
• Azure Data Factory
• Azure logic App
• Power BI Report Server
• Python

Qualifications:

• Nice to have:
• .NET C# skills
• SSIS
• Databricks Machine Learning Certificate preferable.