Data Engineer

Job Detail

Identify and gather data from various sources including excels , databases, APIs, and third-party services. Ensure the quality, consistency, and integrity of collected data. Automate data collection processes where applicable. Architect, design, and implement scalable data pipelines for efficient data processing. Develop ETL (Extract, Transform, Load) processes to clean, transform, and load data into storage solutions such as data lakes or warehouses. Ensure the pipeline is optimized for performance, reliability, and security. Implement monitoring and logging to maintain pipeline health. Design and manage data storage solutions, ensuring data is stored in a manner that supports easy access and retrieval. Optimize data storage for both cost-effectiveness and query performance. Implement data governance practices to ensure compliance with organizational and legal requirements. Develop interactive dashboards using tools such as Tableau, Power BI, or similar platforms. Collaborate with stakeholders to understand their needs and tailor visualizations to support decision-making. Ensure dashboards are user-friendly, visually appealing, and provide real-time or near-real-time data updates. Analyze data to uncover trends, patterns, and anomalies that provide actionable insights. Prepare and present reports to stakeholders, translating complex data into clear and concise narratives. Provide recommendations based on data analysis to inform strategic initiatives