Okay, I've searched for Senior Big Data Engineer roles that are 100% remote, requiring over 7 years of experience, a Master's degree, a salary expectation of at least $60 per hour, and involving big data technologies like Spark, Java, and SQL. I found 12 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Sr. Big Data Engineer position is fundamentally about designing and developing robust data pipelines and scalable cloud-native applications within a top e-commerce organization. The role emphasizes the need for technical proficiency in both real-time and batch processing frameworks like Spark and Kafka, as well as database management skills, particularly with NoSQL and RDBMS systems. Success in this position hinges not only on coding ability but also on the effective implementation of scalable solutions to support substantial data workloads in a fast-paced e-commerce environment. The candidate will likely face challenges such as ensuring system reliability while meeting performance metrics, collaborating across teams to align development with business needs, and adapting to evolving technology stacks. The role will require an analytical mindset to troubleshoot system bottlenecks and a proactive approach to design innovative solutions, setting the stage for scalable and efficient data operations that contribute significantly to business objectives.

Company Analysis:

Jobs via Dice operates as a leading platform dedicated to matching tech professionals with their ideal job opportunities, emphasizing a commitment to growth, innovation, and community engagement in the tech industry. This e-commerce company's positioning as a significant player within the market indicates a dynamic and potentially high-pressure environment where technology drives business outcomes. The culture seems to prioritize continuous learning and adaptability, which aligns with their need for a Sr. Big Data Engineer who can thrive in a fast-evolving industry. The role fits into an organizational context where collaboration across technical and business teams is essential, suggesting that this individual will not only be responsible for technical output but also play a key part in strategic discussions about data utilization. The hire is likely aimed at scaling operations to support ongoing growth and innovation, making this position critical for the company’s long-term objectives.

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

• Tell me about a time when you had to resolve a complex technical challenge with a data pipeline. What approach did you take?
• Describe an instance where you collaborated with a cross-functional team to deliver a project. What was your role, and what was the outcome?
• Can you share an example of a project where you implemented scalable solutions? What were the key factors that led to its success?
• How would you prioritize tasks when managing multiple, simultaneous projects in a high-pressure environment?
• How would you approach designing a RESTful API for a new service within our infrastructure?
• What strategies do you use to ensure data integrity and reliability in both real-time and batch processing pipelines?
• Describe your experience with cloud platforms like Azure or Google Cloud Platform. How have you utilized these technologies in past projects?
• Imagine you're debugging a pipeline that has suddenly started failing. What steps would you take to identify and fix the issue?
• If you could influence one area of improvement in our data engineering practices, what would it be and why?
• Why are you interested in working at Jobs via Dice specifically?
• How do you think your previous experience aligns with our focus on innovation and continuous learning in the tech space?
• What do you understand about our company culture based on our job description and mission statement?
• What questions do you have about our expectations for the Sr. Big Data Engineer role?
• How do you envision your career path evolving within our organization over the next few years?