Data Engineer - Snowflake

· 3+ years of experience Design, develop, and administer Snowflake data warehouse solutions with a focus on scalability and performance

· Write and optimize complex Snowflake SQL queries and scripts for efficient data extraction, transformation, and loading (ETL/ELT)

· Develop and implement robust ETL/ELT pipelines using Snowflake and associated tools

· Apply design patterns and best practices in data pipeline and system design

· Work extensively with cloud platforms, preferably Azure, to integrate Snowflake solutions

· Tune Snowflake warehouses for optimal query performance, including sizing, clustering, and partitioning strategies

· Collaborate with DataOps Live platform to orchestrate, automate, and monitor data workflows and pipelines

· Review and interpret design documents including UML diagrams to ensure alignment with technical solutions

· Implement data security measures such as masking policies, role-based access control, and compliance standards within Snowflake and Azure environments

· Utilize version control systems like Git and participate in DevOps practices for continuous integration and deployment

· Engage actively in Agile methodologies and collaborate effectively with cross-functional teams

· Communicate clearly and professionally with clients and team members to ensure project alignment and success

Schedule: Full-time

Travel: No