Your Role & Responsibility

• 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 PySpark 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.

Required Technical & Professional Expertise

• Data Visualization Tools: Expertise in creating dynamic dashboards using Plotly Dash, or similar visualization libraries.
• Analytical and PySpark Skills: Ability to develop and implement PySpark algorithms for data analysis, focusing on time-series data and anomaly detection.
• User-Centered Design: Strong focus on designing user-friendly, actionable dashboards tailored to engineering and support teams.
• API and Data Integration: Familiarity with pulling and integrating data via API to support seamless visualization.
• Aviation or Flight Data Monitoring Experience (Nice to have): Background in aviation data and Flight Data Monitoring is advantageous.
• English C1 or C2

Consulteer is an equal opportunity employer. No frills, but essential to mention. Salary compensation is based on current market expectations, as well as your individual skills and experience. Submit your application, when you are ready. We cannot wait to get to know you.