Tagcor

Data Engineer

Data Pipeline Development: Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks.
Data Integration: Integrate data from multiple sources into a centralized repository while ensuring data accuracy and reliability.
Data Modeling: Create and optimize data models (conceptual, logical, and physical) to meet reporting and analytics needs.
Database Management: Develop and maintain SQL databases, including writing complex queries, stored procedures, and performance tuning.
Collaboration: Partner with data analysts, business stakeholders to understand requirements and deliver high-quality data solutions.
Data Quality: Implement data validation, monitoring, and error-handling mechanisms to ensure data integrity.
Optimization: Continuously optimize data architectures and pipelines for performance, cost-efficiency, and scalability.
Documentation: Maintain comprehensive documentation for data pipelines, models, and systems.