Data Engineer

Scope of Work

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and storage
• Build and manage ETL/ELT workflows to integrate data from multiple internal and external systems
• Develop and maintain data warehouses, data lakes, and hybrid storage solutions
• Monitor and optimize pipeline performance, reliability, and cost efficiency
• Implement data quality checks, validations, and monitoring mechanisms
• Identify and resolve data issues, anomalies, and pipeline failures
• Ensure data accuracy, completeness, and consistency across platforms
• Support continuous improvement of data reliability and availability
• Collaborate with data scientists, analysts, and business users to understand data requirements
• Deliver curated, analytics-ready datasets to support reporting, dashboards, and advanced analytics
• Partner with Data Architects and Enterprise Architecture te...