Legacy Food Group is seeking a skilled Data Engineer to join our team and help drive data-driven decision making across the company. As a Data Engineer, you will be responsible for designing, building, and maintaining the data architecture that supports our business insights and analytics. You will work closely with cross-functional teams to ensure timely and reliable data flow within the organization. Key Responsibilities: - Design, develop, and maintain robust and scalable data pipelines for ingestion, transformation, and integration of large datasets. - Collaborate with stakeholders and decicion makers to optimize data delivery and support advanced analytics needs. - Ensure data quality, integrity, and security across all data systems. - Implement and manage data storage solutions including data warehouses and data lakes. - Monitor and troubleshoot data infrastructure to resolve any issues promptly. - Stay current with emerging technologies and propose improvements to existing data systems. Work Environment: Collaborative, innovative, fast-paced, with opportunities for professional growth.

• Our consultants guide our customers through complex data challenges to summit the task at hand. • As a Data Engineer, you will design, build, and maintain pipelines and workflows that enable our customers to put their data to work. • You will need to be able to create order out of chaos, transforming raw sources into clean, reliable, and scalable data streams. • Our ideal team members are humble, smart, and driven to ensure our customer’s success. This includes a passion to deliver high-quality results, while teaching our counterparts how to fish and grow the skills needed to support and expand upon the deliverables of our projects.

• Develop and maintain SQL code and SSIS packages, ensuring robust and scalable solutions that can handle our ever-evolving data needs. This includes writing efficient SQL scripts for data extraction, transformation, and loading processes, as well as regularly updating and enhancing SSIS packages to improve performance and functionality. • Analyze data meticulously to address both new and existing business issues. This involves identifying trends, interpreting complex data sets, and collaborating with stakeholders to deliver actionable insights that drive decision-making and foster business growth. • Review query performance regularly and optimize SQL code as needed. This responsibility entails monitoring execution times, analyzing execution plans, and applying best practices to enhance overall performance, ensuring that queries run efficiently and effectively to support business operations. • Provide production-level support to ensure the ongoing reliability and availability of data systems. This includes troubleshooting issues, resolving bugs, and implementing fixes promptly to minimize disruptions and maintain service continuity for our internal clients. • Fully document all processes that are being created to maintain a clear and comprehensive record of the methodologies and practices used. This documentation is essential for promoting knowledge sharing, ensuring compliance with standards, and enabling future enhancements by providing a clear reference for both current and future team members.

• Architect Product Strategy for Technical Platforms: Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives. • Drive AI/ML Product Development: Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems. • Manage Complex Data Platform Initiatives: Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations. • Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and Epic level stories. • Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment.