Okay, I've searched for Azure Data Engineer roles in Raleigh, NC that emphasize Python and SQL, require at least 2 years of experience, and are in the Banking industry. I found 25 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Azure Databricks Data Engineer role at Infosys is primarily focused on enabling digital transformation for clients by leveraging advanced technology solutions. This individual will bridge the gap between technical execution and stakeholder communication, ensuring that projects progress smoothly through various stages of the Software Development Life Cycle (SDLC). Responsibilities include researching emerging technologies, recommending best practices, and applying technical proficiency, which necessitates a robust understanding of Azure, Databricks, Python, and SQL. The complexity of this role lies in the need to navigate a diverse and collaborative environment, where excellence in communication is as important as technical skill. Success in this role means delivering high-quality data solutions that align with client needs, highlighting the importance of both technical and interpersonal skills. Candidates should expect to tackle challenges such as integrating new technologies into existing systems, resolving cross-functional team conflicts, and aligning project outputs with strategic business objectives.

Company Analysis:

Infosys, a leader in digital services, is positioned at the forefront of facilitating digital transformations across various industries. As a global player, the company emphasizes innovation, agility, and an AI-powered approach to drive change for its clients, showcasing a dynamic work culture that values diversity and continuous improvement. This environment suggests a fast-paced atmosphere where adaptability and collaboration are key. The Data Engineer role is situated within a larger team structure that likely involves cross-functional stakeholders, meaning that visibility to upper management and impact on strategic initiatives could be significant. Given Infosys's commitment to learning and development, candidates should consider how they might contribute to and benefit from this culture of growth. The company's emphasis on technology-driven solutions places the Data Engineer in a strategic role, directly influencing the company's ability to meet its clients' evolving needs.

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

• Can you describe a situation where you applied your technical skills to solve a complex problem in a project? What was the outcome?
• Tell me about a time when you had to communicate a technical concept to a non-technical stakeholder. How did you ensure they understood?
• Describe a project where you worked in a diverse, multi-stakeholder environment. What challenges did you face, and how did you overcome them?
• What strategies do you use to keep up with emerging technologies, specifically in the realms of Azure and Databricks?
• How would you approach the end-to-end implementation of a data solution in Azure? What specific steps would you take?
• Can you explain your experience with SQL and PySpark? How have you used these tools in past projects?
• Imagine you are tasked with migrating a large dataset to the cloud using Databricks. What factors would you consider in your approach?
• Suppose a client expresses concerns about the data migration process. How would you address their concerns and ensure their confidence in the project?
• Why do you want to work for Infosys, and how do you see your background aligning with our mission and values?
• What excites you most about the opportunity to contribute to digital transformation projects?
• What do you understand about our learning culture at Infosys, and how do you believe it will support your growth?
• How do you prioritize tasks when working on multiple projects simultaneously?
• What qualities do you think are essential for success in a global delivery environment, and how do you embody those qualities?
• What questions do you have for us about the team structure and dynamics in this role?
• Can you share an insight or idea you would like to explore if you joined our team, especially related to data engineering?