Senior Data Engineer (Azure)
Core
Design and develop end-to-end data pipelines, implement complex data models, and manage ETL workflows using Microsoft Azure to support reporting and the BI ecosystem.
Role type
Senior Data Engineer (Azure)
Builds
End-to-end data pipelines, data warehouses, and dimensional models
Domain
Cloud data engineering (Microsoft Azure)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Azure Data Factory, ETL development, data integration, pipeline orchestration, data modeling, data warehouse architecture, data governance, data quality management
Preferred skills
Azure Synapse Analytics, Azure Data Lake, Azure DevOps, Power BI (Power Query, DAX), Python scripting, Git/CI/CD
Technologies
Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure DevOps, Power BI, SQL Server
Responsibilities
Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services. Implement complex data models, DAX measures, and calculated columns to support reporting. Manage and optimize ETL workflows, ensuring data quality, consistency, and high performance. Design and maintain data warehouses and dimensional models (e.g., star/snowflake schema). Integrate data from various sources, including SQL databases, cloud storage, APIs, and flat files. Ensure data governance, accuracy, and integrity across the BI ecosystem.
Seniority
Senior, hands-on IC