Okay, I've searched for senior ETL developer roles in the United States that are remote, requiring 8+ years of experience, with skills in DataStage and Python, and within the healthcare industry. I have found 172 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior ETL Developer role at NTT DATA is fundamentally about architecting and delivering robust data integration solutions that underpin enterprise data warehousing and analytics initiatives. The candidate is expected to gather and interpret complex business requirements and translate them into scalable ETL workflows, leveraging tools like DataStage, Teradata, and scripting languages such as Python and Linux shell for automation. Beyond technical expertise, success hinges on close collaboration with data modelers, quality assurance teams, and infrastructure groups, indicating a highly cross-functional environment where communication and coordination are critical. The role demands deep proficiency with large-scale data platforms, sophisticated SQL skills to write and optimize complex queries, and a solid conceptual grasp of data modeling which enables effective troubleshooting and enhancement of data pipelines. The seniority implied by mentoring responsibilities and participation in technology governance also shows that this position requires leadership, sound judgment, and an ability to make strategic decisions about integration methods and best practices. Anticipated challenges include debugging intricate data quality issues, balancing competing project priorities, and driving automation to improve process efficiency. Performance success in the first year likely involves delivering stable, high-quality ETL solutions, expanding automation, reducing runtimes, and fostering a culture of continual improvement among the data team.

Company Analysis:

NTT DATA is a global powerhouse in business and technology services, renowned for its innovation in data, AI, and consulting with a vast and diverse client base including a majority of the Fortune Global 100. The company’s size and scale mean roles often have broad impact but also require adaptability within a complex, matrixed organization. Their positioning as a trusted, innovation-driven partner means that employees are expected to contribute to long-term client success by embracing sustainable digital transformation solutions. Working for NTT DATA implies a culture that values inclusivity, forward-thinking approaches, and continuous learning, making it important for candidates to align with these core values and demonstrate agility in evolving tech landscapes. Given the company's substantial investment in R&D and AI, there is likely strong emphasis on leveraging cutting-edge tools and driving automation, which aligns well with the role’s technical expectations. The Senior ETL Developer fits into a critical technology function that supports multiple lines of business by ensuring data integrity and availability, likely interfacing with senior leadership through governance groups and acting as a linchpin between business requirements and technical execution. This is a strategic hire aimed at not only maintaining but advancing NTT DATA’s data infrastructure capabilities to sustain competitive advantage and operational excellence.

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

• Behavioral: Tell me about a time when you had to gather complex business requirements for a data integration project. How did you ensure that the technical solution met those needs?
• Behavioral: Describe an experience where you identified and resolved a critical data quality issue in a large ETL pipeline. What approach did you take?
• Behavioral: Can you discuss a situation where you had to mentor junior developers? How did you balance knowledge transfer with project deadlines?
• Behavioral: Give an example of when you coordinated work across multiple teams or departments to deliver a data solution. What challenges arose and how did you handle them?
• Technical: How do you design and optimize ETL workflows in DataStage when handling large volumes of data with complex transformation rules?
• Technical: Walk me through your process for automating ETL pipelines using Linux scripting and Autosys. What tools and best practices do you incorporate?
• Technical: Explain how you approach writing and tuning complex SQL queries on a Teradata platform to improve performance.
• Technical: What steps do you take to create and maintain data integration specifications that ensure consistent data mapping and business rule application?
• Situational: Imagine that during testing, a key ETL job suddenly starts missing data batches intermittently. How would you investigate and resolve this?
• Situational: You are nearing a production deployment deadline, but you discover significant performance bottlenecks in the ETL process. How do you prioritize and address the issues?
• Situational: A business stakeholder requests a new data integration feature that conflicts with existing architecture and performance standards. How would you manage this request?
• Company Fit: Why are you interested in joining NTT DATA, and how do you see your experience contributing to our mission of enabling long-term client success?
• Company Fit: NTT DATA emphasizes innovation and inclusivity. How do you embody these values in your day-to-day work and collaboration with others?
• Questions for Interviewer: How does the data integration team currently balance legacy system constraints with adopting new technologies for ETL and automation?
• Questions for Interviewer: Can you share examples of how NTT DATA supports career development and learning for senior technical roles like this one?