Okay, I've searched for Data Warehouse Developer roles in Chicago, IL requiring 5+ years of experience with SQL Server and Azure Data Factory, and full-time positions. I have found 72 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Warehouse Developer role is fundamentally designed to enable the organization to harness and operationalize vast amounts of data by creating efficient, accurate, and scalable data models and ETL/ELT pipelines. The core purpose is to transform complex business needs into structured data solutions that support both reporting and business intelligence across the enterprise. The emphasis on collaboration with business stakeholders to translate reporting needs into a functional data model highlights the need for strong communication and domain understanding, ensuring technical solutions align tightly with business objectives. Expected responsibilities revolve around the development and performance tuning of Azure Data Factory pipelines, building advanced SQL queries, and maintaining both modern (cloud-based) and legacy (on-premises) data systems including SSIS and SSRS. The role demands thorough troubleshooting and quality assurance, suggesting scenarios of managing imperfect data inputs and evolving requirements in a fast-paced, agile environment. Success here would be measured by the accuracy, timeliness, and usability of data reporting outputs, as well as smooth operational processes within the data warehouse ecosystem. Technically, mastery of the Microsoft Azure data stack, SQL Server environment, and hands-on development of data pipelines is crucial. Soft skills such as problem-solving, stakeholder management across various levels, and organized time management are equally critical, ensuring delivery against technical challenges and project milestones. The role also implies a blend of autonomous decision-making in the development lifecycle with collaborative practices like code reviews and Agile ceremonies, requiring both independent judgment and effective teamwork.

Company Analysis:

HH Global positions itself as a global market leader in technology-enabled creative production and procurement, operating with a large footprint across 64 countries and a network of thousands of strategic partners. This expansive and distributed setup hints at a complex, multicultural, and matrixed organizational environment where data consistency, integrity, and accessibility become mission-critical. The company’s leadership in this niche requires constant innovation and agility, suggesting a fast-paced, dynamic culture that values technological proficiency, creative problem-solving, and global collaboration. For a Data Warehouse Developer, this means working not just on technical tasks in isolation but within an ecosystem that thrives on cross-continental partnerships and varied stakeholder inputs. The role likely demands adaptability and cultural awareness to align data solutions with global business patterns and local nuances. HH Global’s scale and emphasis on tech-enabled solutions signal a commitment to digital transformation and continuous improvement, positioning this role as a strategic lever to drive efficiency and insight generation. Given its role supporting executive-level reporting and multi-departmental needs, this position would offer visibility and influence, working alongside business and technical leaders. The candidate will thrive by embracing agility, proactive communication, and a solutions-oriented mindset to support the company’s mission of creating significant impact through innovation and collaboration.

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

• Behavioral: Tell me about a time when you had to translate complex business requirements into a technical data model. How did you ensure the solution met stakeholder needs?
• Behavioral: Describe a situation where you identified and resolved a major data quality or performance issue in a data warehouse environment.
• Behavioral: Can you share an experience working in a cross-functional team to deliver a data project under tight deadlines?
• Behavioral: Give an example of how you managed conflicting priorities or requests from multiple stakeholders in your previous role.
• Technical: How do you approach designing an efficient ETL pipeline using Azure Data Factory? Walk me through your typical process.
• Technical: Explain how you optimize complex SQL queries for performance in a large-scale data warehouse.
• Technical: What are the key differences, challenges, and advantages when working with SSIS packages for on-premises data versus Azure Data Factory pipelines?
• Technical: How do you ensure maintainability and quality in your data development, including your use of version control and peer code reviews?
• Situational: Imagine you receive a report from an executive highlighting discrepancies in the data outputs. How would you investigate and resolve the issue?
• Situational: Suppose a new business unit approaches you with reporting requests that require significant changes to the data model. How would you manage the scope and delivery?
• Situational: You have multiple urgent bug fixes and feature requests coming in simultaneously. How do you prioritize your workload and communicate with stakeholders?
• Company Fit/Motivation: What attracted you to HH Global, and how do you see your skills contributing to our mission of tech-enabled creative production and procurement?
• Company Fit/Motivation: HH Global operates globally with diverse teams and stakeholders. How have you adapted your communication style to be effective across cultures and organizational levels?
• Company Fit/Motivation: How do your personal approach and values align with working in an agile, fast-evolving tech environment like ours?
• Questions for the interviewer: How does the data warehouse team currently interact with business units across different regions, and what are some challenges faced in that collaboration?
• Questions for the interviewer: What opportunities exist for professional growth or skill development within the data and analytics teams at HH Global?
• Questions for the interviewer: Can you describe the company’s current data strategy and how this role contributes toward future data-driven initiatives?