Design, build, and maintain scalable ETL/ELT pipelines using SSIS, Azure Data Factory, Azure Databricks, and related Azure services
Lead the development and optimization of enterprise data warehouses, data marts, and business intelligence solutions
Develop efficient, secure, and high-performance data pipelines for processing large-scale structured and unstructured datasets
Implement advanced T-SQL solutions, stored procedures, and database optimization strategies for performance and scalability
Design and manage cloud-native data engineering solutions using Azure technologies including AKS, Event Hub, Cosmos DB, Azure Functions, and Azure DevOps
Collaborate with business stakeholders, BI teams, architects, and engineering teams to gather requirements and deliver data-driven solutions
Support cloud migration, modernization initiatives, and enterprise-scale data platform transformations
Participate in the design and implementation of dashboards, cubes, reporting systems, and self-service BI platforms
Perform performance tuning, query optimization, troubleshooting, monitoring, and automation of data engineering processes
Ensure adherence to SDLC processes, Agile methodologies, coding standards, data governance, and security best practices
Provide technical leadership and mentorship to engineering teams on best practices in data engineering and cloud architecture
Maintain technical documentation and contribute to continuous process and architecture improvements