• Design, build, and maintain robust data pipelines that integrate sources across the business. • Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery. • Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team. • Develop and optimize data models to deliver trusted, structured, and business-ready data. • Ensure data quality, security, and governance are embedded in all pipelines and systems. • Orchestrate and monitor pipeline execution to ensure reliability and scalability. • Deploy and manage infrastructure as code. • Build and tune big data pipelines using SQL, Python, and distributed processing frameworks. • Work with cloud data warehouses to enable insights and analytics. • Maintain and update reporting solutions and user dashboards. • Automate workflows and improve CI/CD pipelines to reduce manual processes.