Sr. Data Engineer
2 days ago
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
Required Qualifications
- 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
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