Senior Data Engineer - Snowflake Migration & Python - 1597

Must Have:

• Snowflake
  
• Snowpark
  
• Python
  
• SQL
  
• Azure Data Factory
  
• ETL / data pipeline migration
  
• REST API integration
  
• Agile / Scrum
  
• AI-assisted development tools such as Cursor or Microsoft Copilot
  

Responsibilities:

• Build, refactor, and support enterprise data pipelines for data collection, transformation, and delivery
  
• Develop and maintain Snowflake-based data solutions using Snowpark, Python, and SQL
  
• Migrate existing Azure Data Factory pipelines into Snowflake Snowpark solutions
  
• Join and transform data from multiple source systems for reporting, dashboards, KPIs, and analytics use cases
  
• Implement infrastructure that supports secure data storage, processing, and retrieval in Snowflake
  
• Execute work from defined requirements, technical designs, and priorities set by team leads and architects
  
• Identify delivery risks, technical issues, or blockers and escalate as needed
  
• Manage assigned tasks and deliverables against project timelines and sprint commitments
  
• Apply performance tuning and optimization across Python and SQL workflows
  
• Use AI-assisted development tools to support coding, refactoring, debugging, and documentation while following engineering standards
  
• Validate AI-generated output to ensure security, quality, performance, and governance requirements are met
  
• Share AI tool usage patterns and best practices with the broader engineering team
  

Qualifications:

• 3 to 5 years of experience in Data Engineering or Data Integration roles
  
• Strong hands-on experience with Snowflake in a production environment
  
• Strong hands-on experience with Snowpark pipeline development
  
• Senior-level Python skills for data engineering and integration workloads
  
• Advanced SQL skills, including complex transformations and query tuning
  
• Experience working with Azure Data Factory and translating pipeline logic into Python-based implementations
  
• Experience migrating ETL or data pipelines across cloud platforms, especially from Azure to Snowflake
  
• Experience working with REST APIs using Python
  
• Experience in Agile/Scrum teams with sprint-based delivery
  
• Understanding of data security, governance, and enterprise engineering standards
  
• Bachelor’s degree or equivalent practical experience
  

Nice to Have:

• Snowflake Tasks and Streams
  
• Snowflake warehouse configuration and optimization
  
• AWS experience
  
• Azure experience
  
• CI/CD for data engineering workflows
  
• Experience with large-scale cloud data migration projects