Data Engineer

• Design and build realistic toy/dummy datasets at varying complexity levels (simple, moderate, complex) in CSV format
• Write concise, natural-language prompts (<40 words) tailored for business analysts and aligned with project style
• Reproduce target visualizations with aesthetic and analytical fidelity using Python (pandas, matplotlib, seaborn, plotly)
• Write clean, reproducible, well-commented Python code and maintain high-quality code standards
• Define correctness criteria and provide supporting documentation with expected values and metrics (e.g., means, correlations, test results)
• Rigorously check each example against quality rubrics (correctness, completeness, clarity, justification)
• Collaborate within the Data Validation team on large-scale project deliverables for a global tech company

Senior Data Engineer

Junior Data Engineer

Software Engineer, Big Data

Data Architect

Data Engineer

Data Engineer