I found several Azure Data Engineer positions in the United States that meet your criteria. Specifically, there are 125 opportunities available that focus on cloud architecture, requiring 5+ years of experience, proficiency in Python, and are full-time roles.

Sure. Here's the analysis:

Job Analysis:

The role of Azure Data Engineer at Infojini is fundamentally centered on leveraging Microsoft Azure services to design, implement, and optimize data engineering solutions that empower businesses to make data-driven decisions. This position requires a deep understanding of not only the technical stack of Azure but also the architecture and integration of various cloud services into cohesive solutions. Key responsibilities include developing end-to-end data pipelines, supporting cloud migrations, and creating efficient, scalable solutions that reflect high availability and disaster recovery principles. The candidate will face challenges such as balancing complex project demands with tight deadlines, aligning multiple stakeholders’ interests, and navigating the complexities of hybrid cloud environments. Success in this role would look like the seamless execution of data pipelines leading to improved data accessibility and quality within the organization, ultimately driving enhanced business insights and operational efficiency. A proactive approach to continuous learning and adaptability to evolving technologies will be crucial for thriving in this dynamic environment.

Company Analysis:

Infojini is an established player in the IT services and workforce solutions industry, indicated by its recognition as a Grand Winner in SIA’s Best Staffing Firms to Work For. This accolade highlights the company’s commitment to cultivating a strong, people-first culture, which is essential when considering the collaborative aspects of the Azure Data Engineer role. Given its CMMI Level 3 appraisal, Infojini likely emphasizes quality and strategic innovation, impacting how projects and engineering tasks are conducted. The company's rapid growth and consistent presence on lists such as the INC 5000 suggest a forward-thinking and agile work environment. For someone in this role, being adaptable and innovative will align well with the company's culture. The Azure Data Engineer will work within a team arguably positioned at the junction of technology and organizational strategy; this role’s output will have direct influence on how clients leverage data tools. The alignment between this individual’s efforts and Infojini’s broader goals of delivering exceptional workforce solutions positions this role as a key contributor to the company’s ongoing success and client satisfaction.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to troubleshoot a cloud migration issue. What was the challenge, and how did you resolve it?
• Describe your experience with Azure Data Factory. Can you provide an example of an end-to-end data pipeline you implemented?
• How do you communicate complex technical concepts to stakeholders who may not have a technical background?
• Can you give an example of a situation where you had to balance multiple projects with competing deadlines? What strategies did you use?
• Explain how you would design a data processing pipeline in Azure using Azure Functions and Azure Logic Apps. What considerations would you take into account?
• Given a dataset that needs to be processed using Azure Databricks, what would your initial steps be?
• Imagine you are tasked with migrating an on-premises database to Azure SQL. What considerations would you ensure are addressed during this process?
• Why are you interested in working at Infojini, and how do you see yourself contributing to our commitment to foster a people-first culture?
• How do you stay up-to-date with the latest developments in cloud technologies? Can you share resources or strategies you find valuable?
• What aspects of our company culture resonate with you, and how do you believe they align with your working style?
• What challenges do you anticipate facing in this Azure Data Engineer role, and how would you approach overcoming them?
• If you had to choose one aspect of cloud architecture that you find most valuable, what is it and why?
• How do you prioritize tasks when working on a cloud transformation project with tight deadlines?
• What questions do you have for us about the projects you would be working on as an Azure Data Engineer at Infojini?
• How do you handle conflicts that may arise in a collaborative environment, especially with technical and non-technical team members?