Data Engineer

The Data Engineer role focuses on data management, pipeline development, and warehouse/lakehouse engineering. The position involves working with Microsoft Fabric, Snowflake, Databricks, SQL, Python, and BI tools to build reliable data solutions and support analytics needs.

Responsibilities:

• Develop and maintain data pipelines for ETL processes.
• Design and optimize SQL queries and data warehouse structures.
• Work with Azure tools, Databricks, Snowflake, and storage services for data processing.
• Build and support medallion-based data lake and data model frameworks
• Implement full and incremental data ingestion approaches.
• Create dashboards and reports using Power BI, Tableau, or similar BI tools.
• Document data workflows, processes, and technical outputs
• Collaborate with data analysts and software engineers to deliver datasets.