Let’s visualize together!
Your Role & Responsibilities
Dashboard and Visualization Development: Design and build clear, insightful dashboards using tools like Plotly, Dash, or other libraries, with a focus on usability and high data visibility for data quality and trend monitoring.
Algorithm Development: Develop and implement Py Spark algorithms to preprocess and analyze flight data, focusing on time-series data insights and quality monitoring.
Data Quality Feedback and Monitoring: Build dashboards to identify and monitor data quality metrics, enabling quick diagnosis and resolution of data integrity issues.
Collaboration with Data Engineers: Work closely with data engineers to integrate visualizations with the backend infrastructure, ensuring alignment with data workflows.
Iterative Improvement: Continuously enhance dashboards and visualization tools based on user feedback and engineering needs, adapting to evolving requirements.
Performance Optimization: Design visualizations to handle large time-series datasets efficiently, implementing downsampling, asynchronous loading, or aggregation techniques to optimize performance.
Documentation and Training: Document dashboard functionality and best practices, and train users on data visualization standards to maximize the tool’s impact.
