• Develop and maintain robust data pipelines to collect, transform, and process large datasets from various sources, ensuring timely and accurate delivery of data for analytics and reporting. • Work with the Lead Engineer to automate business processes, automate the movement of data within the organization, and orchestrate the exchange of data with external partners. • Collaborate with other department managers and business leaders to complete organizational goals and strategic priorities and support critical processes. • Optimize data architecture and performance by leveraging modern technologies and by implementing performance-tuning strategies for databases, procedures, and functions. • Automate data workflows to improve efficiency and scalability, while ensuring data integrity, hygiene, and cost efficiency. • Work closely with business stakeholders to gather requirements, translate them into technical specifications, and deliver solutions within project timelines. • Troubleshoot and resolve data and reporting issues, driving continuous improvement in analytic capabilities.