Senior Data Engineer

Requirements

• Proven experience as a Data Engineer, Data Modeler, or a similar role with a strong focus on data warehousing.
  
• Deep expertise in Snowflake for data warehousing, including schema design, query optimization, and performance tuning.
  
• Extensive hands-on experience with dbt (data build tool) for data transformation, version control, testing, and pipeline orchestration.
  
• Solid understanding of data modeling principles (e.g., dimensional modeling, data vault) and practical experience in designing and implementing complex data models.
  
• Proficiency in SQL for data manipulation, analysis, and complex query writing.
  

• Experience with version control systems (e.g., Git).
  
• Strong analytical and problem-solving skills with meticulous attention to detail.
  
• Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
  
• Experience with Power BI, with a strong emphasis on the backend aspects:
  
• Developing complex Power BI datasets.
  
• DAX formula creation and optimization.
  
• Connecting to various data sources.
  
• Implementing row-level security (RLS).
  
• Optimizing Power BI data models for performance and scalability.
  
• Prior experience with Qlik Sense, particularly understanding its data architecture and data loading mechanisms, to facilitate a smooth transition to Power BI.
  
• Experience with data governance frameworks, metadata management, and data catalog tools