Okay, I've searched for Big Data Principal Engineer roles in Tampa, FL, that are full-time, require 6-10 years of experience, expertise in Java, and include competitive benefits like 401(k). I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Big Data Principal Engineer at Citi is fundamentally tasked with leading the architecture and implementation of complex application systems within Retail Risk Engineering. This role requires an intersection of technical acumen and business insight, as the individual will collaborate with various management teams to align technical systems with strategic objectives and process improvements. Responsibilities include conducting deep analyses of business and system processes while proposing enhancements that reflect industry best practices. Success in this role means not only finding innovative solutions to complex problems but also effectively guiding and mentoring junior developers and analysts, which emphasizes the importance of both technical leadership and interpersonal skills. The candidate will need to exhibit adaptability and ensure compliance with regulatory standards, which is critical in a financial institution tasked with safeguarding assets and maintaining trust with clients. A solid understanding of Agile methodologies and experience with Big Data technologies are essential, as they empower the candidate to drive projects efficiently while navigating the complexities of the financial services landscape.

Company Analysis:

Citi stands at the forefront of the global banking industry, with a rich history of 200 years that positions the company as a trusted partner for clients seeking not just financial services but comprehensive support in navigating complex challenges. This context highlights the importance of the Big Data Principal Engineer role, as the position is not merely about technical implementation but about contributing to Citi's mission of economic empowerment through responsible banking. Given this mission, the culture likely prioritizes innovation and adaptability, requiring team members to remain agile in a fast-paced environment that demands high standards of performance and accountability. The role integrates within a broader team of developers and risk analysts, offering significant visibility to management and a chance to impact Citi's strategic decisions. By focusing on retail credit risk applications, the engineer plays a critical role in ensuring the reliability and efficiency of systems that safeguard client assets, demonstrating the strategic alignment of technology with business goals.

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

• Tell me about a time when you had to lead a project involving multiple stakeholders. How did you ensure their needs were met while staying aligned with project goals?
• Describe a complex problem you faced in a previous role and how you approached solving it. What were the outcomes?
• Can you provide an example of a successful project you managed that involved Big Data? What challenges did you encounter and how did you overcome them?
• How do you ensure that you remain compliant with organizational policies during systems engineering and implementation?
• What methodologies do you prefer while developing application systems in a Big Data context, and why?
• Discuss your experience with Agile delivery methods. How do you adapt to changing priorities during a project?
• Imagine you are tasked with integrating a new system that interacts with existing architecture. What steps would you take to ensure a smooth implementation?
• You notice a significant risk in the application you are developing. What actions would you take to address this risk and safeguard the company's assets?
• Why are you interested in working at Citi, specifically in the field of Retail Risk Engineering?
• How do your personal values align with Citi's mission of fostering economic progress and responsible banking?
• What excites you about working in the financial services industry, particularly in technology roles?
• What systems or tools do you find indispensable in analyzing and interpreting large sets of data?
• Can you tell me what additional skills or experiences you believe you would bring that would benefit our team?
• What questions do you have about our current projects or challenges within the Retail Risk Engineering team?
• How do you approach mentoring junior staff, and what strategies do you use to help them succeed?