Okay, I've searched for Data Engineer roles in Rosemead, CA that require 3+ years of experience and proficiency in SAS, Python, and SQL. I found 12 positions matching your criteria. Would you like to see the details?

Sure. Here's the analysis:

Job Analysis:

The Data Engineer role at Sharp Decisions Inc. is fundamentally designed to spearhead the transformation of data from legacy systems to modern cloud architectures, particularly focusing on re-engineering existing processes written in SAS into Power Query Online. This key transition reflects a significant shift towards cloud-based data solutions, necessitating a blend of technical acumen and strategic foresight. The core responsibilities will involve mapping source data to new structures, which implies an understanding of not only the existing data landscape but also the potential implications of the new architecture. This role will likely face challenges such as ensuring data integrity during migration, resolving discrepancies in data formats, and managing stakeholder expectations regarding data availability and performance. A successful candidate will exhibit not only strong technical skills in Microsoft’s data ecosystem but also problem-solving abilities that allow them to navigate these complex changes effectively. Early success in this role could be measured by the smooth integration of the Enablon system and the successful transformation of the SAS logic, indicating a well-executed transition to the cloud-based environment.

Company Analysis:

Sharp Decisions Inc. operates at the intersection of digital transformation and specialized talent acquisition, serving critically important sectors like Financial Services and Healthcare. The company positions itself as a trusted ally, which implies a strong focus on building long-term client relationships and delivering customized, innovative solutions. This is reflected in their commitment to understanding client challenges deeply, which is essential for someone in a technical role like Data Engineer. The culture appears to be collaborative and highly adaptive, favoring candidates who are not only technically proficient but also possess strong interpersonal skills to liaise with various stakeholders effectively. Given the company's growth-oriented and solution-driven posture, this role serves a crucial purpose in advancing the company’s strategic goals by facilitating robust data management capabilities, ultimately aiding in their mission of supporting client innovation. Being part of an organization recognized for its diversity and commitment to excellence positions the candidate favorably to contribute to a culture that values both technical skills and diverse perspectives on problem-solving.

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

• Describe a time when you had to migrate data from one system to another. What challenges did you face, and how did you overcome them?
• Can you provide an example of how you have used Python or SQL in a past project? What was the project outcome?
• Tell me about a time when you identified a significant error in a data set. How did you approach resolving it?
• How do you prioritize tasks within a complex data engineering project when multiple deadlines are approaching?
• With the focus on transforming SAS code to Power Query, can you explain your approach to tackling such a re-engineering task?
• What strategies would you use to ensure data quality and integrity during the transition from legacy systems to the new cloud structure?
• Imagine you are given the existing SAS transformation logic alongside new requirements. How would you begin to re-engineer this logic into a new format?
• You notice some discrepancies between the source data and the expected outputs after the migration process starts. How would you handle this situation?
• What interests you most about working at Sharp Decisions Inc. in the context of digital transformation?
• How do your personal values and professional aspirations align with the mission and goals of Sharp Decisions?
• Can you discuss why you see yourself thriving in a collaborative environment focused on client success?
• What do you believe are the most critical trends in data engineering today, and how do they relate to the role at Sharp Decisions Inc.?
• What questions do you have about the team you would be working with or the projects currently in progress?
• How do you handle learning new tools or languages when transitioning into a new technical environment?
• What are your long-term career aspirations, and how does this role fit within those goals?