A leading data solutions company is seeking a Snowflake Lead or Data Engineer to lead and implement Snowflake solutions across key areas such as data ingestion, transformation, and access. The ideal candidate should have over 2 years of experience and be well-versed in Snowflake's latest features, SQL scripting, and performance tuning. This role ensures compliance with data governance and security standards, making it essential for candidates to possess strong communication skills for bridging technical and business discussions.
Qualifications
2+ years of experience as a Snowflake Lead or Data Engineer.
Good command of Snowflake internals, including performance tuning, clustering, caching.
Knowledge of Advanced Features like dynamic tables, Snow pipe streaming, Snowflake Cortex AI.
Responsibilities
Lead and implement Snowflake solutions across data ingestion, storage, transformation, and access.
Conduct performance tuning, workload monitoring, and optimization.
Establish data governance, security models, RBAC, and masking policies in line with compliance standards.
Skills
Snowflake solutions implementation
Snowflake performance tuning
SQL scripting
Good communication skills
Tools
AWS
Azure
GCP
Snowpark
Job description
Responsibilities
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.
Requirements
Enable GenAI use cases leveraging Snowflake’s native capabilities
Implement Cortex AI features with custom workflows and business logic
Qualifications and Certifications
2+ years of experience as a Snowflake Lead or Data Engineer
Good command of Snowflake internals, including performance tuning, clustering, caching
Good Knowledge of SQL, Snowflake scripting, and at least any one cloud platforms (AWS, Azure, or GCP)
Knowledge of Advanced Features like dynamic tables, Snow pipe streaming, Snowflake Cortex AI etc
Good communication skills with the ability to bridge technical and business discussions