Snowflake Implementation Data Engineer

Kavaliro is seeking a Snowflake Implementation Data Engineer to support a client in Colorado. The role involves migrating existing cloud-based data warehouses and developing data pipelines while ensuring high data quality and performance.

Responsibilities:

• Engineer end to end Snowflake migration efforts Migrate existing cloud-based data warehouses, ETL pipelines, and data assets into Snowflake, ensuring accuracy, performance, and minimal downtime
• Build and optimize ELT/ETL pipelines Develop data ingestion and transformation pipelines using tools such as dbt, Python, or similar technologies
• Optimize data storage and compute performance Tune Snowflake queries, warehouse sizing, clustering keys, and micro partitioning for cost efficiency and high performance
• Develop migration scripts and automation Write SQL, Python, and automation scripts to streamline migration tasks, data validation, and environment orchestration
• Ensure high data quality and integrity Perform data reconciliation, profiling, validation, and testing to guarantee accurate migration outcomes and reliable analytics
• Collaborate with cross Functional teams Work closely with data architects, analysts, engineers, and business stakeholders to understand data requirements and translate them into Snowflake solutions
• Monitor and troubleshoot Snowflake environments Proactively identify performance bottlenecks, resolve pipeline issues, and monitor workloads using builtin Snowflake tools and logs

Requirements:

• Strong Communication skills
• 5+ years of experience in data engineering and has completed at least one enterprise snowflake migration
• Proven track record of successfully leading data engineering teams and delivering complex projects
• Deep knowledge of data engineering, preferably with experience in Snowflake
• Strong understanding of data pipelines, data warehousing, and ETL processes
• Strong analytical thinking with excellent decision-making abilities
• Ability to manage multiple priorities, meet deadlines, and communicate effectively with technical and non-technical stakeholders