Okay, I've searched for Data Engineer roles in Philadelphia specializing in AWS services, focusing on data pipelines, requiring over 7 years of experience, and involving CI/CD practices. I found 56 positions that match your criteria. You can check them out now!

Sure. Here's the analysis:

Job Analysis:

The Advisor, Data Engineer (Level 4) role at Comcast is fundamentally centered around building and maintaining a modern audit data platform. The core objective is to create scalable, reliable data pipelines that ensure data integrity within the Internal Audit organization. Key responsibilities include designing automated data flows using AWS tools, which highlights the need for technical prowess and system-thinking abilities. Candidates will face the challenge of converting fragmented, manual inputs into streamlined pipelines, necessitating strong problem-solving skills and an ability to work across various business units. Success in this role is likely measured by the candidate's ability to ensure data transparency and reliability while adapting to the fast-paced, innovative environment of Comcast, requiring a balance between immediate audit needs and long-term infrastructural improvements.

Company Analysis:

Comcast occupies a unique position as a Fortune 50 leader in the media and technology industry, emphasizing innovation and collaboration. The company's focus on connectivity and user experience highlights its commitment to leading in a competitive landscape. This vision manifests in a dynamic work environment that prioritizes agility and responsiveness, crucial for the role of Data Engineer. The culture seems to value teamwork and continuous improvement, suggesting that collaboration will be key in this position, particularly when working with cross-functional teams and audit stakeholders. Additionally, the role’s strategic nature—developing resilient data pipelines that streamline audit processes—aligns well with Comcast's goals of leveraging data to enhance operational efficiency. Understanding this alignment can position the right candidate to thrive and contribute significantly within the organization.

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

• Tell me about a time when you had to troubleshoot a complex data pipeline issue. What steps did you take to identify and resolve the problem?
• Describe an experience where you had to implement data quality checks within a pipeline. How did you approach it?
• Can you provide an example of a project where you had to work closely with cross-functional teams? What challenges did you face and how did you overcome them?
• How do you prioritize your tasks when faced with multiple urgent audit needs alongside long-term architectural improvements?
• How would you approach designing a data pipeline for a new audit engagement that requires integration from multiple data sources?
• What strategies would you use to ensure compliance with data security and accessibility requirements when building data integrations?
• Imagine you are dealing with a significant data quality issue that impacts an upcoming audit report. How would you handle the situation?
• Suppose a new data integration tool becomes available that could streamline your workflow. How would you evaluate whether to implement it?
• Why are you interested in working at Comcast specifically, and how do your career aspirations align with our mission?
• What do you see as the biggest challenges facing data engineers in the media and technology industry today?
• Do you have any questions on how our team collaborates with other departments to achieve project goals?
• How do you stay current with emerging data engineering tools and industry best practices?