Okay, I’ve searched for Principal Data Engineer positions in Basking Ridge, NJ, focusing on part-time roles. With your experience of over 6 years in GCP and data pipeline development, I've found 17 positions that include benefits like tuition assistance and a 401(k). You can check them out now.

Sure. Here's the analysis:

Job Analysis:

The Principal Data Engineer role at Verizon is fundamentally about shaping the future of customer service data products for both consumer and business segments. The primary responsibility involves defining and executing a strategic vision for data analytics that directly enhances customer and employee experiences. This entails constructing scalable ETL data pipelines, predominantly leveraging Google Cloud Platform (GCP), which requires deep technical expertise in SQL, Python, and GCP's tools like BigQuery and Dataflow. The candidate will face challenges in navigating complex data ecosystems while ensuring data integrity and quality, making strong problem-solving skills essential. Success in this role will not only involve technical proficiency but also effective collaboration with cross-functional teams, including data engineers and data scientists, demonstrating leadership and communication prowess. Performance metrics may encompass the successful deployment of data products, adherence to project timelines, and the ability to mentor and guide team members. In the first 6–12 months, a successful candidate might establish a reputation for reliability in delivering projects and contribute to strategic discussions about data architecture.

Company Analysis:

Verizon operates in a highly competitive telecommunications industry, positioning itself as a leader in connectivity and customer experience innovation. This leadership status imbues the Principal Data Engineer role with significant scope and influence, as the individual will directly impact how data-driven decisions shape customer interaction strategies. The company culture, as indicated by their focus on empowerment, innovation, and community engagement, suggests a dynamic work environment where employees are encouraged to contribute ideas freely. This culture likely enhances collaboration across teams, vital for a role that requires cross-functional coordination and communication. The role fits within a broader data engineering team that directly collaborates with leadership, presenting opportunities for visibility and career growth. Strategic alignment is evident as this role is critical to enhancing customer service efficiency and satisfaction—key drivers of Verizon's business objectives. The focus on digital and AI-first products reflects an organizational commitment to leveraging cutting-edge technology to enhance service delivery, indicating that the candidate must be forward-thinking and adaptable.

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

• Tell me about a time when you had to design a data pipeline from scratch. What was your approach and what challenges did you face?
• Can you describe a project where you collaborated with data scientists to deploy a machine learning model? What role did you play?
• How do you prioritize the various demands of building and maintaining ETL pipelines while ensuring data quality?
• Describe a situation where you had to mentor a junior team member. How did you approach it and what was the outcome?
• How would you approach designing an ETL pipeline using GCP tools such as Dataflow and BigQuery?
• What techniques do you use to maintain data integrity while conducting data migrations or transformations?
• Describe a time when you had to utilize real-time data processing technologies to solve an immediate business problem.
• Imagine you are faced with a performance issue in one of your data processing pipelines. How would you diagnose and address it?
• Why are you interested in working at Verizon, particularly in the context of data engineering?
• How do your career aspirations align with Verizon's goals for data-driven customer engagement?
• What excites you about the potential of using AI tools in data engineering, and how do you see this impacting customer service?
• What aspects of Verizon's company culture do you find most appealing, and how would you contribute to that culture?
• What questions do you have about the technologies and tools used by the data engineering team at Verizon?
• Can you provide an example of how you've applied strategic thinking to a data initiative in a past role?
• How do you balance the need for innovation in your work with the company's existing processes and structures?