Okay, I've searched for Data Engineer roles in Dearborn, MI that require Python and SQL skills, with at least 3 years of experience in ETL development, and knowledge of Google Cloud Platform. I found 45 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer position at Stefanini Group fundamentally aims to design, implement, test, and launch data pipelines that efficiently load dealer data and generate critical analytical insights. The role's primary responsibilities center around migrating existing data processes from Teradata to BigQuery, utilizing tools such as Airflow or Astronomer, indicating a focus on adapting to cutting-edge cloud technologies. Successful candidates must possess not only a strong foundation in Python and SQL—essential for data manipulation and ETL development—but also solid analytical skills, as they will be tasked with optimizing data processes that directly influence business decision-making. The position requires a collaborative approach, engaging with IT members and business stakeholders, suggesting that strong communication skills and an understanding of business processes are crucial for ensuring the alignment of technical solutions with business goals. Factors such as the ability to lead and mentor junior engineers indicate an expected growth trajectory within the role, thereby embedding leadership responsibilities into the hiring criteria. Overall, success in this role will be evidenced through the seamless migration and enhancement of data processes that foster data-driven insights across the organization.

Company Analysis:

Stefanini Group operates as a prominent player in the technology consulting sector, with a distinct focus on digital transformation solutions that span various industries, including financial services and manufacturing. Given its multinational presence and broad service portfolio, the company positions itself as an agile yet robust entity that values both innovation and adaptability—qualities that resonate in the Data Engineer role. The company's emphasis on a shared entrepreneurial spirit suggests a culture that champions creative problem-solving and open-minded collaboration, which is likely to provide an empowering environment for individuals willing to innovate and propose new ideas. As the company aims to enhance its competitive edge through investments in technology and talent, candidates must align with these principles to thrive. The Data Engineering role sits strategically within the organization as it addresses critical technological upgrades, indicating that the hired individual will play a vital part in the growth and evolution of Stefanini’s services, with potential visibility to senior leadership. This position not only serves immediate operational needs but also aligns with the company's long-term strategic objectives of fostering a culture of continuous development through modernized data methodologies.

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

• Tell me about a time when you had to troubleshoot a data pipeline issue. What steps did you take to diagnose and resolve the problem?
• Describe an experience where you worked closely with business stakeholders to understand their data requirements. How did you ensure their needs were met?
• Can you provide an example of how you've mentored a junior data engineer or team member? What approach did you take?
• How do you stay updated with the latest trends and technologies in data engineering and cloud solutions?
• How would you approach migrating a complex ETL process from Teradata to BigQuery? What factors would you consider during this process?
• Describe your experience with Python and SQL in the context of building ETL pipelines. Could you describe a specific project?
• What is your understanding of Google Cloud Platform's components, and how can they be leveraged for data engineering?
• Imagine you are faced with a scenario where business requirements change mid-project. How would you handle the situation to ensure project success?
• Why are you interested in working at Stefanini Group specifically, and what attracted you to this Data Engineer role?
• How do your values align with our mission of innovating through technology at Stefanini?
• Tell me about a challenging analytical problem you've encountered in your past roles. How did you approach solving it?
• What strategies do you employ to ensure data quality and integrity in your engineering processes?
• As a data engineer, how do you communicate complex technical data concepts to non-technical stakeholders?