Senior Data Engineer

Responsibilities:

• Design, develop, and maintain data pipelines for ingesting, processing, and transforming data from various sources into actionable insights.
• Integrate data from disparate sources (databases, APIs, and files) into a unified data platform using ETL processes and data integration techniques.
• Design and implement data models, schemas, and data structures to support analytical queries, reporting, and business intelligence needs.
• Optimize database performance, query execution, and data processing workflows for efficiency, scalability, and reliability.
• Ensure data quality, integrity, and consistency through data validation, cleansing, deduplication, and error-handling mechanisms.
• Architect and implement data solutions on Azure cloud platforms, leveraging Azure services for data storage, processing, and analytics.
• Implement data security measures, encryption techniques, and access c...