Okay, I've searched for Data Engineer roles in Warren, MI, that emphasize Azure cloud technologies, with a requirement of 5-7 years of ETL experience, in full-time positions, and expertise in Python and SQL. I have found 45 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer role at Epitec is fundamentally designed to build and optimize data pipelines and assets that directly support Business Intelligence and Advanced Analytics initiatives. The engineer will engage in crafting innovative data solutions while ensuring elegance and professionalism in execution. Primary responsibilities include collaborating with Data Scientists, BI developers, and Data Architects in a highly controlled environment, emphasizing the importance of writing maintainable code and tests that scale without rework. This role demands a solid understanding of ETL processes, Azure cloud technologies, and deep familiarity with databases and data architecture, as successful candidates will face the challenges of adapting to changing project priorities and tight deadlines within a structured three-week sprint cycle. Success in this position hinges on not just technical skill, but also on a passion for data quality and an ability to actively engage with team members and stakeholders to fulfill critical project requirements within a dynamic setting.

Company Analysis:

Epitec operates in the staffing industry, positioning itself as a leader by offering personalized services that prioritize matching individual career ambitions with high-demand job opportunities within Fortune 500 companies. This indicates a fast-paced, customer-centric culture that values adaptability and innovation. The company’s commitment to excellence and team collaboration is reflected in its recognition as a 'Best and Brightest Company to Work For' and its consistent efforts to create an inclusive and supportive work environment. The Data Engineer role fits within a larger team dynamic, likely requiring a mix of independent problem-solving and collaborative cross-functional interactions, particularly with data-focused partners. This role appears pivotal in helping Epitec achieve its strategic objectives related to data integrity and optimization, positioning the data engineer as a crucial player in delivering solutions that enhance the company’s technological capabilities and improve client outcomes.

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

• Tell me about a time when you had to prioritize multiple tasks in a fast-paced environment. How did you manage your time and resources?
• Can you describe a complex ETL process you designed? What challenges did you face and how did you overcome them?
• Share an example of a situation where you had to collaborate with team members from different functions. How did you ensure effective communication?
• Describe a time when you implemented a data-driven solution that significantly improved a process or outcome.
• How do you approach writing maintainable tests and code? Can you walk us through your development process?
• What experience do you have with Azure cloud technologies, and how have you utilized them in data solutions?
• Explain your understanding of data architecture and how it relates to business intelligence projects.
• Imagine that you are in a sprint, and mid-way you are asked to shift your focus to a new critical project due to changing priorities. How would you handle the situational shift?
• If a data pipeline you built starts to fail intermittently, what troubleshooting steps would you take to identify the issue?
• Why are you interested in working at Epitec specifically?
• How do you see your values aligning with Epitec's mission and commitment to supporting staffing needs?
• What aspects of our company culture resonate most with you, and how do you think you would contribute to that culture?
• What resources or support would you seek to ensure your success in this role?