ETL SQL Data Engineer

• Lead and implement Snowflake solutions across data ingestion, storage, transformation, and access
• Lead end-to-end implementation of solutions using Snowflake’s latest features.
• Develop reusable frameworks, UDFs, and components using Snowpark or SQL scripting
• Develop performance-optimized pipelines using Snowflake-native capabilities and modern ELT tools
• Establish data governance, security models, RBAC, and masking policies in line with compliance standards
• Conduct performance tuning, workload monitoring, and optimization.
• Design and implement scalable and efficient data storage solutions using Snowflake.
• Write, optimize, and troubleshoot SQL queries within the Snowflake environment.
• Integrate Snowflake with various data sources and third-party tools.
• Ensure data security and compliance with industry standards.
• Collaborate with cross-functional teams to meet data-driven business objectives.
• Stay updated with the latest Snowflake features and best practices.

Required skills and experience:

• Proficient in SQL and familiar with ETL processes
• Experience with data modeling and cloud computing environments
• Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning
• Understanding of data compliance and security best practices
• Familiarity with BI tools integration, such as Tableau or Looker
• Proven track record of data migration and optimization within Snowflake
• Ability to translate business needs into technical specifications
• Experience in performance tuning and cost optimization in a cloud data platform