Sr Data Engineer - Snowflake | dbt | SnapLogic | HVR

The company is seeking a Senior Data Engineer to develop and optimize modern cloud data engineering solutions. The role focuses on building scalable ETL/ELT pipelines, integrating source systems into Snowflake, developing dbt models, and supporting analytics-ready data products using SnapLogic and HVR.

Responsibilities:

• Strong hands-on expertise in Snowflake, dbt, SQL, and cloud data warehousing is required
• Experience designing and developing scalable ETL/ELT data pipelines
• Strong experience with SnapLogic for data integration and pipeline development
• Hands-on experience with HVR (Fivetran HVR) for real-time data replication and ingestion
• Build and optimize dbt models, incremental pipelines, snapshots, and macros
• Strong understanding of data modeling, dimensional modeling, and enterprise data architecture
• Experience integrating multiple source systems into Snowflake and building analytics-ready data products

Requirements:

• We are looking for a Senior Data Engineer with 10+ years of experience in modern data engineering
• Strong hands-on expertise in Snowflake, dbt, SQL, and cloud data warehousing is required
• Experience designing and developing scalable ETL/ELT data pipelines
• Strong experience with SnapLogic for data integration and pipeline development
• Hands-on experience with HVR (Fivetran HVR) for real-time data replication and ingestion
• Build and optimize dbt models, incremental pipelines, snapshots, and macros
• Strong understanding of data modeling, dimensional modeling, and enterprise data architecture
• Experience integrating multiple source systems into Snowflake and building analytics-ready data products
• Proficiency in Python, Git, and CI/CD is preferred; Databricks experience is a plus