Okay, I've searched for Cloud Data Engineer roles in Raleigh, NC, specifically targeting Azure Data Factory and Azure Databricks, requiring at least 4 years of experience, with skills in SQL and PySpark. I found 32 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The role of an Azure and Databricks Cloud Data Engineer at Infosys is fundamentally focused on enabling digital transformation for clients through the effective design, implementation, and optimization of data pipelines using Azure Data Factory (ADF) and Azure Databricks. This involves collaborating with various stakeholders to understand their data needs, controlling data quality, and ensuring adherence to governance and security standards. Key responsibilities include leading the entire lifecycle of data projects, mentoring junior engineers, and driving continuous improvement in data processing. This role requires not only a strong technical foundation in tools like PySpark and SQL but also the ability to navigate complex organizational dynamics and offer strategic recommendations, as challenges may arise in achieving stakeholder alignment or optimizing workflows. Success in this role will be characterized by the ability to deliver scalable solutions efficiently while enhancing team capabilities and maintaining high standards of data integrity and performance, especially within a global delivery model where communication and collaboration are crucial.

Company Analysis:

Infosys operates as a global leader in digital services and consulting, positioning itself at the forefront of helping enterprises undergo significant digital transformations. This strategic positioning offers considerable scope for the Azure Data Engineer role, as it directly aligns with the company’s mission to empower businesses with AI-driven solutions and agile digital transformations. The corporate culture at Infosys appears to be one of continuous learning and inclusivity, as their emphasis on teamwork, collaboration, and respect for diversity suggests a vibrant workplace where innovative ideas are nurtured. For the Data Engineer role, being part of this culture means not only engaging with cutting-edge technologies but also contributing to a collective knowledge ecosystem. This position likely exists within a broader framework of cross-functional collaboration, where the individual will interact frequently with analysts, developers, and business leaders, enhancing visibility but also presenting challenges in harmonizing various perspectives. Overall, this role is aligned with Infosys’s growth objectives, focusing on providing scalable solutions and refining the client journey through advanced data strategies.

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

• Tell me about a time when you had to lead a complex data pipeline project. What challenges did you face, and how did you overcome them?
• Describe a scenario where you had to collaborate with multiple teams. How did you ensure effective communication and alignment on project goals?
• Can you discuss a problem you encountered while optimizing a data workflow? What was your approach to resolving it?
• How do you ensure that data quality and governance standards are maintained in your projects?
• What specific strategies do you use to mentor junior engineers and promote best practices within your team?
• How would you design and implement an end-to-end data pipeline using Azure Data Factory and Databricks? Outline your approach.
• Explain how your proficiency in PySpark and SQL influences your ability to execute data engineering tasks. Can you share an example?
• What role does CI/CD play in your data engineering processes, particularly within Azure environments?
• Imagine you are tasked with improving the data pipeline performance for a high-traffic application. What initial steps would you take?
• Given the emphasis on continuous improvement at Infosys, how have you implemented feedback from past projects into your work?
• Why are you particularly interested in a role at Infosys, and how do you see your career aligning with our values and mission?
• What aspects of Infosys's learning culture resonate with you, and how do you intend to engage with them in this role?
• How do you stay updated on the latest trends and best practices in data engineering, and how does this impact your work?
• What questions do you have regarding the team structure and collaborative processes within the Azure Data Engineering team?
• Could you share your thoughts on how to manage the balance between technical excellence and stakeholder management in this role?