Python Data Solutions Engineer

• Python (4+ years): Strong expertise in data workflows and automation.
  
  
• Spark (PySpark): Hands-on experience with large-scale data processing.
  
  
• Pandas: For detailed data analysis and validation.
  
  
• Delta Lake: Managing structured and semi-structured datasets at scale.
  
  
• SQL: Querying and performing operations on Delta tables.
  
  
• Kubernetes (K8s): Container orchestration and deployment.
  
  
• Azure cloud: Compute and storage services.
  
  
• Testing frameworks: Proven experience in unit, integration, and system-level testing.
  
  

Good to have skillsets

• Experience with climate, ESG, or large-scale data domains.
  
  
• Strong understanding of data standards and governance practices.
  
  
• Advanced SQL and optimization experience for large datasets.