Okay, I've searched for Data Engineer roles in Manhattan, NY focusing on Streaming and Cloud technologies for contract positions. Your specified skills in ETL processes, SQL, and Azure, as well as your interest in real-time data pipelines, have resulted in 42 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer – Streaming & Cloud role at Intellibus primarily focuses on leveraging cloud technologies and data engineering practices to support the backend of operations for prominent FinTech firms. This position is integral to solving the Multiplicity Problem by developing ETL processes, managing data assets on Azure, and implementing real-time data flows using Apache Flink. Candidates will be tasked with creating efficient data models and optimizing data pipelines, but success will also hinge on their ability to navigate a collaborative team environment. Beyond technical skills, the role emphasizes analytics—a passion for understanding data is as crucial as proficiency in tools. The underlying expectation is to not only implement solutions but also to address complex performance issues proactively and mentor others in the process. Ultimately, indicators of success within the first 6-12 months will be measured by the efficiency and effectiveness of deployed data solutions, as well as contributions to innovative data practices aligning with clients' evolving needs.

Company Analysis:

Intellibus positions itself at the intersection of technology and finance, advising Executive-level stakeholders on critical innovations from cloud computing to artificial intelligence. With accolades as a top tech firm, the company embraces a culture of challenging problem-solving and entrepreneurial spirit, valuing individual contributions that lead to substantive impact. This environment suggests that team members, including the Data Engineer, will thrive when exhibiting innovation and adaptability. Given that the role supports core operations for significant financial institutions, it is vital that the candidate aligns with the company’s mission of harnessing their unique 'Genius' to deliver strategic insights and solutions. This position likely involves working closely with cross-functional teams, thus offering substantial visibility and opportunities for professional growth within the organization. The strategic alignment emphasizes the need for a data expert who can align technical capabilities with broader company objectives, enhancing operational efficiency and informing decision-making in high-stakes contexts.

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

• Tell me about a time when you had to optimize a data pipeline. What challenges did you face and how did you overcome them?
• Can you describe an experience where you had to integrate multiple data sources? What were the key considerations?
• How do you prioritize tasks when you have multiple projects with tight deadlines?
• Give an example of a time when you had to mentor a junior developer. What approach did you take?
• What methodologies do you use in Azure for ETL processes, and how do you ensure data integrity during the process?
• Explain your experience with Apache Flink. How would you approach building a real-time data processing pipeline?
• What strategies do you use to optimize SQL queries? Can you give a specific example?
• Describe a situation where you faced a performance issue in a data warehouse. How did you diagnose and fix it?
• Imagine you're working with a cross-functional team and there are differing opinions on the approach to a project. How would you handle this conflict?
• Why do you want to work at Intellibus, and how do you see your skills contributing to our mission?
• What aspects of our company culture resonate with you the most?
• How do our values align with your personal and professional goals?
• What further information can you share about the types of projects the Data Engineering team is working on?
• What opportunities for growth do you see in this position that are appealing to you?