• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness
  
  

• Advanced working SQL knowledge and experience working with relational databases, query authoring
• A successful history of manipulating, processing and extracting value from large, disconnected datasets
• Ideally, 3+ years of experience in a Data Engineer role or equivalent using SQL and/or Python
• Good organizational skills and attention to detail
• Excellent critical thinking skills to flag complex data challenges
• Experience with cloud technologies and Python is a plus
• Comfortable working in fast paced, highly collaborative environment
• Ability to effectively communicate to different target audiences
  
  

Please refer to job description.