Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, SQL, and Python.
• Build and optimize ETL/ELT processes across Microsoft-based cloud data platforms.
• Work with Microsoft Fabric to support modern analytics and data engineering workflows.
• Develop and maintain data models and transformation logic to support reporting and analytics needs.
• Collaborate with analysts, business stakeholders, and technical teams to translate business requirements into technical solutions.
• Support Power BI reporting needs by enabling clean, reliable, and well-structured datasets.
• Ensure data quality, consistency, and performance across ingestion, transformation, and reporting layers.
• Monitor and optimize workflows for reliability, scalability, and maintainability.
• Contribute to CI/CD, deployment, and operational best practices within the Microsoft ecosystem....