Okay, I've searched for Big Data Engineer roles in Kansas City that require experience with Hadoop and NoSQL, a degree in Computer Science, and a salary expectation of at least $100,000. I found 42 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Big Data Engineer role at Synchrony is fundamentally centered on building and maintaining high-quality data ingestion and analytics capabilities within the enterprise data lake. This position is critical for enabling decision-makers across the organization to leverage data effectively while adhering to strict data governance and quality standards. Key responsibilities include developing big data applications using a Hadoop ecosystem, collaborating within Agile Scrum teams, and ensuring data standardization and governance. The role necessitates a strong technical aptitude along with the ability to communicate effectively across various functions. A candidate will likely face challenges such as navigating complex data landscapes, aligning technologies with business needs, and managing tight deadlines in a fast-paced environment. Success in this role will be characterized by the ability to produce reliable data solutions that enhance business intelligence capabilities, foster cross-team collaboration, and drive efficiency in data management processes.

Company Analysis:

Synchrony positions itself as a critical player in consumer financing, focusing on making financial products accessible to millions. The company's mission revolves around supporting consumers in making informed financial decisions and connecting them to a network of businesses. This context is crucial for a Big Data Engineer, as the role directly impacts the quality of data that informs these financial decisions. The culture likely values innovation and agility, considering the mention of an Agile Scrum environment and a commitment to providing flexibility in work arrangements. The organization seems to prioritize collaboration, diversity, and inclusion, hinting at a supportive environment where various perspectives are encouraged. The company's growth trajectory and focus on enhancing customer experiences suggest that this role is strategically important, serving as either a growth-focused hire to enhance data capabilities or a critical position to ensure operational stability and compliance within the expansive landscape of consumer finance.

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

• Tell me about a time when you had to integrate data from multiple sources. What challenges did you face and how did you address them?
• How have you ensured data quality and compliance in your previous projects? Can you provide an example?
• Describe a situation where you had to work with cross-functional teams to achieve a project goal. How did you approach collaboration?
• What experience do you have in the Hadoop ecosystem? Can you walk us through a specific project where you utilized this technology?
• How would you approach creating a data mapping document for a new dataset? What steps would you include in your process?
• What tools and technologies do you prefer for data ingestion and transformation tasks? Why do you favor these?
• Imagine you are tasked with improving the data accuracy within the data lake. What steps would you take to identify and address deficiencies?
• Suppose your team is experiencing shifting priorities from business stakeholders. How would you manage this situation to keep the project on track?
• What attracted you to Synchrony and this particular role? How do you see yourself contributing to our mission?
• How do our company values around inclusion and community resonate with your personal values and work style?
• In your view, what is the most significant trend in data engineering today, and how do you think it will impact a financial services company like Synchrony?
• What are your thoughts on working in a geographically distributed team? How do you ensure effective communication and collaboration?
• How do you keep yourself updated with the latest technologies and methodologies in big data engineering?