Snowflake Data Engineer

Location - Miami, FL- 5 day onsite

Note- US citizen and Green Card- only W2

Requirements- A minimum of 5 years of practical experience with Snowflake technologies, including proficiency in Snowflake SQL, Tasks, Streams, Warehouses, Role-Based Access Control (RBAC), Clustering, and Performance Optimization.

• Familiarity with configuring Snowflake as a Data Lakehouse, ensuring it is optimized for Artificial Intelligence and Machine Learning applications.

• The Data Engineer is not required to develop Machine Learning or Large Language Models but must work collaboratively with Machine Learning engineers to establish data schemas and the semantic layer.

• Proven experience in constructing and managing enterprise-level Data Lakes and/or Data Warehouses.

• Ability to design, develop, and sustain scalable, high-performance data pipelines and ETL/ELT workflows, adhering to modern data engineering best practices utilizing Snowflake.

• Responsible for implementing Streaming and micro-batch architectures to facilitate efficient data processing.

• Competence in processing semi-structured data, ensuring effective data integration and management.

• Possession of SnowPro certification(s) is considered advantageous.