Okay, I've searched for Senior Big Data Engineer roles in Costa Mesa, CA, focusing on Hadoop and Spark, with remote work options available, requiring at least 4 years of experience, and a salary range of $100,000 to$170,000. I found 32 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The AVP, Senior Data Engineer role at Synchrony is fundamentally about innovating and improving the company's data processing capabilities to support consumer finance initiatives. This position entails the implementation of a robust big data ecosystem that prioritizes low latency analytics, which is vital for real-time decision-making in finance. The responsibilities encompass creating and managing data lakes, BI systems, and advocating for best practices in technical development. Candidates will face challenges such as ensuring seamless integration of diverse data sources and addressing the complexities of legacy systems while implementing modern technologies like Hadoop, Spark, and Kafka. Success in this role will be reflected through the successful deployment of efficient data architectures, timely project completions, and the ability to convey technical impacts to non-technical stakeholders, thereby influencing informed decision-making across the organization.

Company Analysis:

Synchrony operates within the consumer finance industry, positioning itself as a vital player in helping millions of individuals manage their credit and financial choices. The company's emphasis on flexibility in work arrangements suggests a progressive culture that values work-life balance while also fostering collaboration through in-person engagements. The culture likely prioritizes innovation and responsiveness to market demands, as indicated by the role's focus on transforming legacy systems and leveraging big data technologies. The Senior Data Engineer will be part of a technically driven team that supports the overall strategy of enhancing customer interactions and operational efficiency. This role is critical to Synchrony's goal of connecting consumers with small and mid-sized businesses, launching initiatives that require accurate and timely data processing to support growth and stability. Understanding this context will be essential for candidates aiming to align their contributions with the company’s larger vision.

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

• Describe a time when you had to manage multiple priorities in a data engineering project. What strategies did you use to meet deadlines?
• Can you give an example of a complex data problem you faced and how you solved it? What was the outcome?
• Tell me about a time you had to influence a technical decision with stakeholders who lacked technical knowledge. How did you approach it?
• How would you explain the significance of moving to a cloud-based data lake for non-technical team members?
• Explain your experience with Hadoop and Spark. Can you discuss a project where you utilized these technologies?
• How do you approach performance tuning for big data applications? Can you provide a specific example?
• What methods do you use to ensure data quality during the cleansing and transformation process?
• Imagine you are tasked with integrating a new data source into an existing data lake that is already complex. How would you approach this?
• Suppose there’s a critical outage due to a data pipeline failure. What steps would you take to troubleshoot and address the issue?
• Why are you interested in working for Synchrony, and how do you see yourself contributing to our mission?
• How do you think your values align with Synchrony's emphasis on diversity and inclusion?
• What do you hope to achieve in the first six months in this role at Synchrony?