Senior Data Engineer (Snowflake)

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines to ingest data from multiple source systems
• Develop and optimize Snowflake data warehouse structures, including databases, schemas, tables
• Implement data transformation logic using SQL, dbt, Python, or similar tools within
• Manage and optimize Snowflake virtual warehouses for performance, concurrency, and cost efficiency.
• Use Snowflake features such as stages, tasks, streams, time travel, zero-copy cloning, and secure
• Load and process structured and semi-structured data, including JSON, Avro, and Parquet.

🎯 Requirements

• 5+ years of experience in data engineering, analytics engineering, or a similar role.
• Hands-on experience with Snowflake in production environments.
• Advanced SQL skills, including complex query development and query optimization.
• Experience with Snowflake architecture and core objects such as virtual warehouses, databases
• Experience designing and building ETL/ELT pipelines for cloud data platforms.
• Proficiency in Python, Scala, or Java for data processing and automation.