Okay, I've searched for Principal Data Engineer roles in Chicago within the financial services sector, requiring over 5 years of experience, expertise in ETL/ELT processes, big data platforms like Hadoop, and AWS knowledge. I have found 67 positions for you.

Sure. Here's the analysis:

Job Analysis:

The AVP, Principal Data Engineer role at Synchrony is fundamentally about leading the transformation of data engineering practices to enhance consumer-centric analytics. This position requires a strong technical acumen in modern data technologies, with responsibilities that include both developing and overseeing data engineering applications, implementing ETL/ELT processes on large-scale platforms, and guiding a team in a fast-paced Agile environment. Precision in communication and collaboration is essential, as the candidate will work closely with various stakeholders, including product managers and architects, to ensure data solutions are scalable and effective. Success in this role will hinge on not only technical expertise but also on the ability to mentor a team, resolve conflicts, and influence high-level decisions that will shape the company's data strategy. Candidates can expect to encounter challenges such as migrating legacy systems while maintaining data integrity and optimizing performance across consumer finance applications, requiring innovative solutions and strategic thinking within a regulatory landscape.

Company Analysis:

Synchrony positions itself as a crucial player in consumer financing, focusing on accessibility and informed decision-making to improve financial health for millions. The company operates in a competitive FinTech landscape, emphasizing innovation and responsiveness to consumer needs. This context sets the stage for the role, which is embedded within a dynamic and evolving environment where agility and adaptability are paramount. The culture likely prioritizes collaboration and inclusivity, enabling team members to positively influence strategic outcomes while fostering personal and professional growth. Given that this role involves significant cross-functional interaction, the ability to communicate complex data concepts effectively is crucial. The strategic alignment with Synchrony's goals suggests that the Data Engineer will play a vital role in driving initiatives intended to enhance the customer experience and operational efficiency, signifying both influence and visibility within the organization.

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

• Tell me about a time when you had to lead a project in a fast-paced environment. What were your strategies for keeping the team on track?
• Describe a situation where you implemented a significant change in your data engineering processes. What challenges did you face and how did you overcome them?
• Give an example of how you have mentored a team member in their technical development. What was the outcome?
• What methods do you typically use to communicate complex technical concepts to non-technical stakeholders, and can you provide an example?
• How would you approach designing an ETL workflow for a new product launch at Synchrony?
• Can you walk us through the steps you would take to optimize a real-time data pipeline using Spark?
• What strategies would you implement to ensure data integrity while transitioning from a legacy system?
• Imagine you are faced with a disagreement within your team about the best approach to a data project. How would you handle it?
• Why are you interested in working at Synchrony specifically? What do you think sets us apart from other financial technology companies?
• How do your personal values align with Synchrony's commitment to diversity and inclusion?
• What trends in data engineering do you believe will most impact the consumer financing industry in the coming years?
• If you were to have an impact on our data strategy, what key initiative would you pursue and why?
• What aspects of our company culture resonate most with you, and how do you see yourself contributing to our team?
• Can you discuss your experience working with cross-functional teams and how you ensure alignment across technical and business objectives?
• What questions do you have for us about the data engineering team and our upcoming projects?