Data Engineer
Data Engineer
Position Requirements:
• 100% remote
• Monday-Friday, 40 hours a week
Required Skills:
• Experience in uncertain environments with limited requirements
• SQL Query experience
• Python and Pyspark
• Large-scale data handling
• Automated unit tests creation
• Dashboard design and Tableau
• Translating complex data into business visualizations
Description: Collaborate with business and analytics leaders to generate insights and answer business questions using advanced data visualization, statistical analysis, predictive modeling, and machine learning. Perform basic statistical analysis of data, create algorithms for efficient data analysis, and communicate insights through visualization techniques. Identify data sources and work with IT to retrieve and use data. Stay updated on analytical techniques and apply them to find valuable business insights.
Skills and Knowledge:
• Quantitative analytical skills
• Industry knowledge
• Interpersonal, negotiation, and conflict resolution skills
• Excellent verbal and written communication
• Business process knowledge
• Advanced data gathering and analysis techniques
Education:
• Degree in Math, Economics, or Statistics (University Degree)
Work Experience:
• Industry-specific experience
• Data analytics experience
• Experience in mining data for insights
• Exposure to enterprise statistical tools like SAS, Statistica, SPSS, or SAS E Miner
