Data Engineer

• Design, build, and maintain data pipelines, warehouses, and data models using Snowflake and DBT.
• Collaborate with cross-functional teams to gather data requirements and develop efficient data architectures.
• Implement and manage ETL/ELT processes across structured and unstructured data sources using tools such as Azure Data Factory and SQL.
• Enforce data governance protocols including quality, lineage, metadata management, and security compliance.
• Monitor system performance, conduct tuning, and proactively address bottlenecks.
• Maintain documentation of data processes, architecture, and technical specifications.
• Contribute to team knowledge by supporting peers and staying current on data engineering trends.

Data Engineer – Snowflake, DBT

Data Engineer

Senior Data Engineer

Junior Data Engineer

Data Engineer, Databricks

Data Architect – Microsoft Azure, Microsoft Fabric