Okay, I've searched for Senior Data Engineer roles in the Industrials and Energy sector in Minneapolis. These roles require 8+ years of experience with expertise in AWS and AI/ML integration, and provide options for remote work. I found 42 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The role of Senior Data Engineer at EY for the Industrials & Energy sector centers on creating and managing robust data architectures that fulfill diverse business needs. Essentially, this position tasks a skilled leader with overseeing complex data processes, solution development, and team mentorship, while ensuring alignment with the company's strategic visions. Key responsibilities include spearheading the design and implementation of data engineering projects utilizing cloud technologies like AWS and Azure, which are vital given the increasing complexity of data sources in today's business environment. Effective communication will be crucial for this role, as collaboration with various stakeholders, including data scientists and solution architects, will occur regularly to ensure business objectives are met. The technical underpinnings—such as proficiency in Python, Pyspark, and principles of data architecture—allow for the construction, optimization, and maintenance of scalable data solutions that drive value. This role will require navigating ambiguity, managing client expectations, and leveraging industry-specific expertise to make informed decisions. Success in the first year will likely hinge on demonstrating quick wins through efficient project deliveries while laying the groundwork for long-term innovations in data handling processes.

Company Analysis:

EY operates within the professional services landscape, known for its commitment to building a better working world through innovative solutions that encompass assurance, consulting, and transactions. The firm positions itself as a leader in utilizing data, AI, and advanced technology to not only reshape client operations but also address societal challenges. The culture at EY seems collaborative and inclusive, reflecting a commitment to diversity and continuous professional development. For someone in the Senior Data Engineer role, thriving in this environment will demand an aptitude for innovative problem-solving coupled with strong interpersonal skills, given EY’s emphasis on teamwork and stakeholder engagement. The Senior Data Engineer will likely interact frequently with upper management and cross-functional teams, motivating a need for strategic communication skills. This role aligns with EY's broader strategic goals of digital transformation and modernization, making it imperative for the selected candidate to not only lead data engineering efforts but also nurture a culture of continuous improvement and innovation among peers. A candidate’s ability to adapt and contribute to EY’s mission-driven objectives will be essential for long-term success within the organization.

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

• Behavioral Questions:
• Tell me about a time when you had to manage a complex data project under tight deadlines. How did you handle it?
• Describe a situation where you had to communicate a technical concept to a non-technical audience. How did you ensure understanding?
• Can you provide an example of when you identified a significant data quality issue? What steps did you take to resolve it?
• What’s a leadership challenge you faced while mentoring a team? How did you overcome it?
• Technical/Role-Specific Questions:
• How would you approach designing a data pipeline for a new cloud-based application?
• Can you explain your experience with AWS or Azure in the context of data architecture? What specific tools or services did you utilize?
• What methodologies do you use for ensuring data quality and reconciliation in a Big Data environment?
• In what ways have you integrated AI/ML solutions into your data engineering workflows?
• Situational Questions:
• Imagine you are tasked with implementing a new data architecture amidst evolving business requirements. What steps would you take?
• If a key stakeholder expresses dissatisfaction with the data solution being implemented, how would you handle the situation?
• Company Fit/Motivation Questions:
• Why do you want to work at EY and specifically in the Industrials & Energy sector?
• How do your values align with EY's mission of building a better working world?
• What do you think are the most pressing challenges facing industries like Power & Utilities today, and how can data engineering help address them?
• Questions for the Candidate to Ask the Interviewer:
• Can you describe the team culture and the opportunities for collaboration within the data engineering team?
• What major projects is the team currently focusing on that I would be involved in if selected for this role?
• How does EY support continuous learning and professional growth for employees in technical roles?