Snowflakes Data Engineers

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.

Key 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.

Enable GenAI use cases leveraging Snowflake’s native capabilities

Implement Cortex AI features with custom workflows and business logic

Required 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

Certifications: SnowPro Core Certified.