Okay, I've searched for Senior Data Engineer roles in Charlotte, NC that require expertise in PySpark and Google BigQuery, have a minimum experience of 2 years in Data Engineering, and offer hybrid work options. I found 23 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Engineer role at Experis is fundamentally about translating complex business requirements into effective technical solutions that enhance data management and foster decision-making processes. The role requires collaboration with product teams to understand functional specifications, thereby ensuring that data solutions align with business objectives. The primary responsibilities involve building and maintaining data pipelines, managing data integrity, and optimizing performance—all essential for supporting analytics and business intelligence functions. This entails a deep engagement with various programming languages and frameworks, such as Python and PySpark, suggesting that candidates must be adept not only in coding but also in understanding agile methodologies and data governance frameworks. Success in this role will likely look like the seamless delivery of reliable analytical datasets that feed into AI initiatives, indicating a strong expectation for both technical ability and strategic foresight. Additionally, the ability to handle complex integrations and troubleshoot efficiently will be crucial, marking this as a high-impact position within the organization that directly supports its ambitious roadmap toward enhanced pricing AI capabilities.

Company Analysis:

Experis, part of the ManpowerGroup family, occupies a notable position as a leader in IT resourcing and managed services amid a landscape characterized by rapid technological evolution and skills shortages. This status influences the Senior Data Engineer role significantly, making it pivotal not only for operational success but also for sustaining the company's competitive edge. The company's culture appears to prioritize technical excellence and innovation, paired with an emphasis on soft skills, suggesting a collaborative and agile work environment open to creative problem-solving. Within this specific organizational context, the role likely operates with a fair degree of visibility and potentially cross-functional collaboration, given the reference to partnerships with product teams and operational stakeholders. Furthermore, with a strategic aim of driving business transformation through enhanced data capabilities, the role aligns closely with Experis’s mission to harness advanced analytics and AI, making it essential for candidates to possess both technical acumen and business-oriented thinking to thrive and contribute meaningfully to the company’s goals.

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

• Tell me about a time when you had to adapt quickly to a significant change in a project or workflow. How did you manage it?
• Describe an experience where you worked with cross-functional teams. What challenges did you face, and how did you address them?
• Can you give an example of a technical problem you encountered and how you resolved it while ensuring the solution was efficient and maintainable?
• How do you prioritize tasks when faced with multiple project deadlines? Can you walk us through your thought process?
• What steps do you take when building a data pipeline? How do you ensure data quality throughout the process?
• How would you optimize a data ingestion process that has been identified as a bottleneck in a project?
• How do you approach testing code and ensuring quality deployments in your previous engineering projects?
• Imagine you're tasked with integrating data from various sources to create a dashboard for stakeholders. What process would you follow?
• If a data pipeline you developed began to show performance issues, what would be your first steps to diagnose and fix the problem?
• Why are you interested in working at Experis specifically, and how do you see your role contributing to its goals?
• What do you know about ManpowerGroup’s approach to diversity and inclusion, and why is it important to you?
• Do you have any questions about the team I would be working with or the tools and technologies you typically use here?
• What are the biggest challenges you see in the IT industry today, and how do you think Experis is addressing them?