Sr Data Engineer

Key Responsibilities

• Design, build, and optimize data ingestion and transformation pipelines on Snowflake
• Implement Bronze / Silver / Gold data layers aligned with architectural standards
• Develop scalable ELT frameworks for batch and near–real-time ingestion using SnapLogic or similar ETL tools
• Optimize Snowflake performance and cost (clustering, warehouse sizing, query tuning)
• Implement data quality (DQ) checks, validation rules, and exception handling
• Review designs, code, and performance tuning approaches
• Enforce engineering best practices, coding standards, and documentation
• Collaborate closely with onshore architects and stakeholders to clarify requirements
• Support effort estimation, sprint planning, and delivery commitments
• Translate discovery and architecture outputs into implementable designs
• Support UAT, production deployment, and post-go-live stabilization
• Proactively identify risks, performance issues, and improvement opportunities
  
  

• 8+ years of experience in data engineering, with at least 2 years in a lead role
• Strong hands-on experience with Snowflake:
• Data modeling and transformations
• Performance and cost optimization
• Security and role-based access controls
• Strong SQL expertise and experience with ELT tools such as SnapLogic or similar tools