Okay, I've found 35 Big Data Engineer positions in Stamford, CT within the financial industry that match your criteria of a salary of at least $100,000 and require a minimum of 3 years of experience. You can review these opportunities now.

Sure. Here's the analysis:

Job Analysis:

The Big Data Engineer at Synchrony plays a critical role in developing and managing the Enterprise Data Lake, with the overarching aim of delivering reliable and high-quality data solutions that enhance financial decision-making and operational efficiency across the organization. This position necessitates a deep understanding of both technical and business contexts, as candidates will be tasked with integrating diverse data sources and ensuring compliance with stringent data governance standards. Responsibilities include collaborating within an Agile Scrum team, where the engineer will actively engage in the entire software development lifecycle—from coding and testing to deployment. Success in this role hinges on the ability to drive quality and efficiency, effectively communicate insights, and navigate the complexities of data environments while addressing diverse business needs. Candidates will encounter challenges such as maintaining data integrity, resolving discrepancies, and enhancing data processing speeds while understanding the financial implications of their work. A successful Big Data Engineer will fulfill their responsibilities with precision, fostering cross-functional collaboration and serving as a bridge between technical execution and business strategy, ultimately contributing to the company’s mission of facilitating informed credit choices for consumers.

Company Analysis:

Synchrony operates at the intersection of finance and technology, positioning itself as a key driver in consumer financing solutions. The organization’s mission—to simplify access to credit—highlights its focus on enhancing customer experiences through innovative data solutions. This forward-thinking approach instills a fast-paced, dynamic work environment, where adaptability and continuous learning are essential. The company values diverse perspectives and promotes an inclusive culture, which is crucial for problem-solving in a field that demands creative and collaborative solutions. As a Big Data Engineer, you will find yourself integrated within a cross-functional team that not only enhances technical capabilities but also ensures alignment with Synchrony’s broader goals—transforming raw data into actionable insights that support hundreds of thousands of small and mid-sized businesses. This role offers significant visibility and the opportunity to influence strategic outcomes, reinforcing the necessity for strong business acumen alongside technical prowess. The organizational framework encourages autonomy yet emphasizes teamwork, requiring candidates to excel in communication and collaboration across various teams, especially in an Agile setting. Given Synchrony’s standing in the financial services industry, the expectations will include delivering solutions that not only meet technical specifications but also align with regulatory compliance and quality standards pivotal in the financial sector.

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 overcome them?
• Describe a situation where the quality of data you were working with was subpar. How did you identify the issues, and what steps did you take to rectify them?
• Can you provide an example of a complex SQL query you wrote? What was the purpose, and what did you learn from the experience?
• Have you ever worked on an Agile team? Please share how you contributed to the team's success during a coding sprint.
• How would you approach ingesting data from a new external source into an existing data lake? What factors would you consider?
• What strategies would you employ when profiling data to ensure it meets the necessary business requirements?
• Imagine the integrity of a critical dataset is in doubt. How would you verify its accuracy and ensure compliance with data governance standards?
• If tasked with creating data quality rules for a new dataset, what would be your initial steps and considerations?
• Why are you interested in working at Synchrony specifically, and how does this role align with your career goals?
• What do you know about Synchrony's ecosystem, and how do you see the role of a Big Data Engineer contributing to that?
• In your opinion, what is essential for maintaining effective communication across teams in a geographically distributed environment?
• What is your understanding of Synchrony's corporate culture, and how do you think it impacts the Big Data engineering team?
• What questions do you have about the technology stack we use here at Synchrony, particularly regarding Hadoop and Kafka?
• Can you tell me more about how diversity and inclusion manifest in day-to-day operations at Synchrony?