Okay, I've searched for Data Engineer roles in New York, NY, focusing on analytics and data modeling, requiring a Master's degree, with Python skills, and a salary of at least $180,000. I found 45 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer, Analytics role at Meta involves designing and implementing data warehousing solutions that are critical for informed decision-making and data-driven insights across multiple products. This position emphasizes the need for a strong foundational knowledge in designing complex data models and ETL processes, as well as a command over distributed computing technologies and cloud infrastructure. The successful candidate will navigate the nuances of unstructured and structured data to build systems that ensure accuracy and reliability, addressing potential data quality issues. Beyond technical skills, this role requires collaboration across cross-functional teams, implying that communication and interpersonal skills are as crucial as technical expertise. Candidates must also be adept at problem-solving, particularly in ambiguous situations, as they will have to assess diverse data challenges that might arise frequently. Success in this role could be measured through the effectiveness of the data models created and their impact on decision-making processes within the organization.

Company Analysis:

Meta, formerly known as Facebook, is at the forefront of developing technologies that facilitate connectivity in our increasingly digital world. Its innovative drive toward immersive experiences in augmented and virtual reality exemplifies the company’s relentless pursuit of revolutionizing social technology. This transformative environment suggests a fast-paced and adaptive company culture that values creativity, collaboration, and continuous improvement. For the Data Engineer role, this means candidates need to be not only technically proficient but also comfortable with rapid changes and a culture that encourages experimentation. The role likely sits within a larger team of data professionals and interacts closely with product managers and engineers, indicating a middle-to-high-level visibility with leadership. As the company continues to expand its product offerings and user base, the Data Engineer will play a pivotal role in enabling data-driven strategies, solidifying how essential this position is to Meta's overarching goals. Candidates should be looking for an opportunity that not only aligns with their technical skills but also their desire to contribute to a mission-driven organization that places a high value on innovation and user-centric technology development.

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

• Can you describe a project where you designed and implemented a data warehousing solution? What challenges did you face, and how did you overcome them?
• How do you ensure data accuracy and reliability in your ETL processes?
• Tell me about a time when you had to collaborate with a cross-functional team. What was your role, and how did you contribute to the team's success?
• Describe a situation where you identified a data quality issue. How did you detect it, and what steps did you take to resolve it?
• What experience do you have with distributed computing technologies, and how have you applied them in your previous roles?
• Can you explain your approach to schema design and dimensional data modeling?
• How would you handle a scenario where the needs of product managers and data scientists conflict regarding data requirements?
• Imagine you need to optimize a data pipeline that is currently running slowly. What steps would you take to identify the bottleneck and enhance performance?
• Why are you interested in working at Meta specifically, and how do you think your skills align with our projects?
• How do you stay updated with the latest technologies and best practices in data engineering?
• What are your thoughts on the future of data analytics in social technology? Where do you see it heading?
• If we were to ask your previous team members about your collaboration style, what do you think they would say?
• What do you think is the most important aspect of a data governance process?
• What questions do you have about the data infrastructure currently utilized at Meta?