Okay, I've searched for Data Quality Engineer roles in Texas that involve Informatica IDQ or DataBuck in a hybrid work model and require 8+ years of experience. I found 45 positions that match your criteria. You can view the details now.

Sure. Here's the analysis:

Job Analysis:

The Data Quality Expert role is fundamentally centered around ensuring the integrity, accuracy, and reliability of data across various platforms. This position is crucial for organizations that rely heavily on data for decision-making and operational efficiency. Responsibilities include developing and refining data quality frameworks, which indicates that the candidate must not only be well-versed in data quality principles but must also have a strategic mindset to implement these frameworks effectively. One of the major challenges the candidate may face is maintaining data quality across diverse datasets while integrating data quality checks within complex ETL/ELT pipelines. Success in this role would look like a decreased number of data integrity issues reported and higher confidence from cross-functional teams regarding the reliability of data outputs. Moreover, the expectation for this expert to develop and integrate APIs reflects the increasing automation in data management and highlights the need for the candidate to be not just technically skilled but also innovative in problem-solving and responsive to evolving data landscapes.

Company Analysis:

Jobs via Dice is positioned as a facilitator of career opportunities in the tech domain, enhancing the landscape for both job seekers and employers. The platform seems focused on connecting the right talent with suitable job openings, emphasizing growth, innovation, and continuous learning—qualities essential in the ever-evolving tech industry. The culture appears to prioritize the delivery of tailored resources for career advancement, indicating a supportive and resourceful environment for tech professionals. This data quality role, especially being part of Lorven Technologies' offering, suggests it’s integral to maintaining high standards of data integrity—critical for client success. Potential candidates might find that the fast-paced and innovative nature of this role aligns well with the company's essence of fostering talent, making it vital for them to adopt a proactive and solution-oriented approach. Additionally, the hybrid working model indicates a dynamic workflow environment that values flexibility, further underscoring the need for strong communication and collaboration skills. Overall, this role is not just a position but a strategic part of the company's mission to improve career journeys in tech.

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

• Tell me about a time when you had to develop a complex data quality framework. What challenges did you face, and how did you overcome them?
• How do you prioritize data quality issues when multiple datasets are involved?
• Describe an experience where you automated a data validation process. What tools did you use and what was the impact?
• Can you walk us through your approach to troubleshooting a data quality issue that affected multiple stakeholders?
• How would you develop a rule library in Informatica IDQ or DataBuck? What considerations will guide your decision-making?
• What steps would you take to ensure data quality rules are consistently integrated into ETL/ELT pipelines?
• Imagine you are tasked with defining automated alert systems based on data profiling results. What key metrics would you focus on and why?
• Suppose you notice a significant drop in data quality scores across several datasets during routine checks. How would you handle the situation?
• Why are you interested in working at Jobs via Dice specifically, and what do you find appealing about our approach to tech careers?
• How do your professional values align with the priorities of fostering innovation and continuous learning highlighted by our company?
• What excites you about the work being done by Lorven Technologies and how do you see yourself contributing to its mission?
• How do you stay updated on the latest trends and tools in data quality and what are the specific ones you believe will shape the next few years in this field?
• Could you share your typical approach to documenting data quality processes and how this aids in governance and compliance?
• What questions do you have about how we integrate data quality practices into our overall processes at Jobs via Dice?