Senior Data Engineer

Key Responsibilities:

• Design and implement scalable, reliable data pipelines, data models, and data infrastructure for processing large and complex datasets.
• Develop and maintain databases, data warehouses, and data lakes to store and manage organizational data.
• Implement data integration and ETL (Extract, Transform, Load) processes to ensure smooth and accurate data flow between different systems and data sources.
• Ensure data quality, consistency, and accuracy through data profiling, cleansing, and validation.
• Build and maintain data processing and analytics systems that support business intelligence, machine learning, and other data-driven applications.
• Optimize the performance and scalability of data systems and infrastructure to accommodate growing data needs.
• Work with cross-functional teams to support data-driven business solutions and strategies.