Snowflake Data Engineer

Data Engieer with Snowflake (EX - AMEX required)

Location: NYC,NY - onsite

• A Snowflake Data engineer who designs, builds, and optimizes cloud-based data warehouses and ELT data pipelines
• They are responsible for writing advanced SQL, creating views, Normalizations, managing data ingestion, and ensuring data security and platform performance.

Key Responsibilities

• Data Pipelines: Build, maintain, and optimize robust ELT pipelines to process large volumes of structured and semi-structured data.
• Snowflake Architecture: Configure and manage virtual warehouses, stages, Snowpipe, streams, and tasks.
• SQL Development: Write clean, highly optimized SQL queries, stored procedures, and User-Defined Functions (UDFs).
• Performance Tuning: Monitor query performance and apply tuning techniques like clustering keys, materialized views, and result caching.
• Security & Governance: Implement Role-Based Access Control (RBAC), row/column-level security, and data masking.
• Integration & Transformation: Work with transformation tools like dbt, or use Snowpark with Python/Java for advanced analytics.

Essential Qualifications

• Experience: 4+ to 5+ years of hands-on experience building cloud-native data platforms, with at least 3+ years specifically in Snowflake. 
• Technical Skills: Advanced SQL, Data Modeling (Star/Snowflake schema), and scripting (Python, Bash).
• Tools: Proficiency with cloud environments (AWS, Azure, or Google Cloud Platform) and ELT/ETL integration tools. 
• Soft Skills: Strong analytical problem-solving, capability to translate business requirements into technical data structures, and Agile/Scrum team collaboration.