مهندس بيانات أول – Azure Databricks (Senior Data Engineer – Azure Databricks)

Job Summary

This role involves designing, building, and maintaining data pipelines and solutions on Azure, focusing on Azure Databricks and related technologies to support data engineering needs.

Responsibilities

• Create and manage data pipelines using Azure Data Factory.
• Develop production-level solutions with Azure Databricks, Delta Lake, and Unity Catalog.
• Implement Medallion architecture layers (Bronze, Silver, Gold) using PySpark, Python, and SQL.
• Apply incremental loading techniques, Change Data Capture (CDC), and Slowly Changing Dimension Type 2 (SCD Type 2).
• Build data warehouse solutions utilizing Synapse and Fabric.
• Ensure data quality, governance, lineage, and security measures are in place.
• Handle Azure DevOps CI/CD processes, Terraform/Bicep, Key Vault, and Role-Based Access Control (RBAC).

Requirements

• Over 7 years of experience in Data Engineering with at least 4 years on Azure platform.
• Proficient in Azure Databricks, PySpark, Python, SQL, and Azure Data Factory.
• Hands-on experience with Delta Lake and Unity Catalog in production environments.
• Knowledge of Medallion architecture and dimensional modeling.
• Strong skills in Azure DevOps and cloud security.
• Bachelor’s degree in a relevant field.
• Good command of English communication skills.

We refresh listings regularly, but some roles close early on the source platform.