Data Engineer
CurrentData Pipeline Development: Design, implement, and manage robust data pipelines using Microsoft Azure Data Factory to automate data integration and transformation processes.Database Management: Utilize SQL for data manipulation, extraction, and loading, ensuring that databases are optimized for performance and reliability.Data Quality Assurance: Continuously monitor and improve data quality, clarity, and integrity through rigorous testing and validation processes.Collaboration: Work closely with production team, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.Performance Optimization: Optimize data workflows and database performance to support the organization's data-driven initiatives.Documentation: Maintain comprehensive documentation of data workflows, processes, and methodologies to ensure transparency and knowledge sharing within the team.Troubleshooting: Identify, diagnose, and resolve data-related issues to ensure uninterrupted data availability