POSITION OVERVIEWAs a Data Engineer, you will play a pivotal role in architecting and developing modern data warehouse and data lake solutions that serve as the foundation for both batch and real- time analytics, as well as AI- driven systems. You will work closely with cross- functional teams to build a robust, scalable data infrastructure that empowers intelligent applications and enables data- driven decision- making across the organization.WHAT YOU WILL DO• Design, build, operate, and continuously evolve modern data architecture to ensure scalability, reliability, and adaptability, supporting business growth and innovation• Develop, optimize, and fine- tune ETL/ELT pipelines and data processing workflows to integrate data from multiple systems and platforms, ensuring high data quality, performance, scalability, reliability, and cost- efficiency• Ensure data quality, security, and compliance by implementing best practices, governance policies, and robust security measures to protect sensitive data and meet regulatory requirements• Manage and optimize database and data warehouse performance, including query optimization, indexing strategies, and performance tuning, to ensure fast, efficient, and reliable data retrieval• Create and maintain data warehouses and data lakes that support business intelligence and analytics needs across restaurant operations, customer engagement, and supply chain management• Implement data collection and integration processes from various sources including POS systems, online ordering platforms, inventory management, and customer feedback channels• Build and maintain comprehensive data documentation including data dictionaries, flow diagrams, and architecture designs• Mentor and guide the development team on data management best practices, database design, and efficient workflow integration• Support additional tasks or responsibilities as assigned by the line manager to contribute to the team&039;s and organization&039;s successExample Projects- Building a real- time analytics platform to monitor restaurant performance metrics- Developing customer segmentation data pipelines that power personalized marketing initiatives- Creating inventory optimization models based on historical sales data and seasonal trends- Implementing a unified data platform that connects front- of- house and back- of- house operations
