Okay, I've searched for Data Engineer roles in Dearborn, MI, with more than 7 years of experience, focusing on hybrid positions that require strong skills in Python and SQL, and companies utilizing Big Query and Airflow. I found 32 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer role at Epitec is designed to drive the transition of data management processes for a leading automotive client, specifically focusing on the migration of data pipelines from Teradata to Big Query. This position demands not only technical proficiency but also a deep understanding of the underlying business processes, as the candidate will collaborate closely with IT team members and business owners to tailor solutions that meet specific analytical needs. Success in this role hinges on the ability to design, implement, and test data pipelines effectively while ensuring robust data integrity through diligent analysis and troubleshooting. The candidate will face challenges such as identifying data discrepancies and leading a small team of associate engineers, necessitating strong mentorship and leadership skills. In summary, a successful candidate will not only demonstrate advanced ETL development skills and fluency in Python and SQL but will also exhibit strong problem-solving capabilities and an analytical mindset to foster innovative data-driven solutions.

Company Analysis:

Epitec operates within the staffing industry, serving a diverse array of clients, including Fortune 500 companies. With a legacy that dates back to 1978, the company prides itself on personalized service and a flexible workforce model designed to align employee capabilities with client needs. This sets a collaborative tone for the Data Engineer role, which requires cross-functional coordination and strong communication skills. Epitec’s recognition as a top supplier and its commitment to employee success suggests a culture that values excellence, diversity, and professional growth. For a Data Engineer, understanding this ethos will be vital, as the role not only requires technical acumen but also a commitment to leveraging innovative solutions in a supportive environment. The position promises visibility to leadership, presenting opportunities for career advancement, especially considering Epitec's ongoing commitment to recognition and excellence in the staffing field. The strategic alignment indicates that this role is integral to enhancing the analytical capabilities of Epitec's automotive client, with expectations of driving growth and efficiency through data.

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

• Tell me about a time when you had to lead a team through a complex data migration project.
• Can you describe an instance where you identified a significant data discrepancy? How did you approach resolving it?
• Describe a challenge you faced when designing an ETL pipeline. What was your solution?
• What steps do you take when you're tasked with mentoring less experienced team members?
• How would you approach the migration of data landing and transformation jobs from Teradata to Big Query?
• What are the key considerations you keep in mind while developing ETL workflows using Airflow?
• Can you provide an example of how you've utilized SQL to enhance data quality in a previous project?
• Imagine you are working on a data pipeline and there are unexpected anomalies in the data output. How would you diagnose the issue?
• Why are you interested in working at Epitec, specifically in the role of Data Engineer?
• What do you know about Epitec’s approach to staffing and how does it align with your career aspirations?
• How do you prioritize professional growth and what resources do you believe you would benefit from at Epitec?
• What questions do you have about the team dynamics and culture at Epitec?
• Can you describe a time when you had to adapt quickly to changing project requirements? What was your approach?