Job Description
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Snowflake Architecture & Engineering:
GenAI:
Enable GenAI use cases leveraging Snowflake's native capabilities
Implement Cortex AI features with custom workflows and business logic
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.
at least 1 year of experience as a Snowflake 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.
