Okay, I've searched for Senior ETL Developer roles that are remote, require 8+ years of experience, with expertise in DataStage and Teradata, within the technology consulting or data management industry. I have found 147 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Senior ETL Developer role is fundamentally centered on architecting and delivering robust data integration solutions that underpin enterprise data warehousing and analytics capabilities. The core purpose is to translate complex business requirements into efficient, automated ETL pipelines using tools like DataStage while ensuring data quality, performance, and maintainability. This involves close work with data modelers, QA, DBAs, and infrastructure teams, reflecting the highly collaborative and cross-functional nature of the job. The candidate must be comfortable navigating the full ETL lifecycle—from gathering business rules and designing data mappings to deployment and post-production support —signaling a need for both technical depth and project management savvy. Given the emphasis on Automation (Linux/Python scripting, Autosys), problem resolution, and mentorship, success will entail not just delivering code but continuously improving pipeline efficiency, enforcing governance best practices, and elevating the capability of more junior team members. The role inherently demands a strategic mindset to balance immediate delivery with sustainable architecture, as well as the ability to operate autonomously in a complex enterprise environment, often troubleshooting across diverse systems and resolving upstream data quality issues. Healthcare domain experience and certifications would further differentiate candidates by equipping them to handle domain-specific data challenges and compliance nuances.

Company Analysis:

NTT DATA stands as a global powerhouse blending technology innovation with deep consulting expertise across industries, including healthcare, which aligns closely with this ETL developer role. Their positioning as a $30 billion company serving a vast majority of Fortune Global 100 clients means roles within the organization are embedded in large-scale, mission-critical projects that demand reliability, scalability, and rigorous standards. This context suggests a culture that values precision, governance, and continuous innovation — supported by heavy R&D investments and a diverse, inclusive global workforce. The company’s emphasis on inclusivity, adaptability, and forward-thinking indicates a workplace encouraging learning and agility, which dovetails with the seniority expected of this position, especially regarding mentoring and governance participation. Situated within a large, multifaceted enterprise likely involving matrixed teams, this role offers visibility and influence across technical and business functions, demanding strong communication skills and stakeholder management. For a candidate, thriving here means aligning with a culture of high standards and continuous improvement while navigating the complexity of enterprise-scale data ecosystems. Strategically, this hire seems geared towards reinforcing NTT DATA’s leadership in data and AI infrastructure by ensuring foundational data processes are both cutting-edge and robust, supporting broader digital transformation goals for clients like Lensa.

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

• Behavioral: Tell me about a time you identified and resolved a complex data quality issue in an ETL process. How did you approach it and what was the outcome?
• Behavioral: Describe a situation where you mentored a junior developer. What challenges did you face, and how did you ensure their growth aligned with project goals?
• Behavioral: Can you share an example of when you had to coordinate cross-functionally to deploy a data integration solution? How did you manage differing priorities or conflicts?
• Behavioral: Give an example of when you had to estimate resources and timelines for a large ETL project. How accurate were your estimates, and what did you learn?
• Technical: How do you design and optimize ETL pipelines using DataStage for large-scale data warehousing environments like Teradata?
• Technical: Explain your approach to automating ETL workflows using Linux scripting and Autosys. What challenges have you encountered and how did you overcome them?
• Technical: How would you troubleshoot and improve the performance of complex SQL queries in an Enterprise Data Warehouse setting?
• Technical: What practices do you follow to ensure data integration specifications accurately capture business rules and data mappings? How do you validate them?
• Situational: Imagine a critical data feed is failing just before a go-live deadline. How would you handle the immediate issue and communicate with stakeholders?
• Situational: If you discover inconsistencies between source data and the ETL output during UAT, what steps would you take to diagnose and fix the problem?
• Situational: Suppose a junior developer submits a solution that doesn’t follow established design standards. How would you address this while maintaining team morale?
• Company Fit: Why are you interested in working with NTT DATA, especially in a role supporting healthcare data projects?
• Company Fit: How do your personal values and professional goals align with NTT DATA's emphasis on innovation, inclusivity, and forward-thinking?
• Company Fit: Given NTT DATA’s global scale and client portfolio, how do you see yourself contributing to long-term digital transformation efforts here?
• Questions to Ask Interviewer: Can you describe the current ETL team structure and how this role interacts with data modeling, QA, and infrastructure teams?
• Questions to Ask Interviewer: What are the biggest data integration challenges NTT DATA is facing in healthcare projects right now?
• Questions to Ask Interviewer: How does NTT DATA support continuous learning and certification for senior technical roles like this one?