Data Engineer - Fabric

Responsibilities

• API development & maintenance to ITSM, CRM, Financial and SharePoint systems
• Data extraction / ingestion from source to our data warehouse (Fabric + Azure Data Factory)
• PySpark / SQL updates to Stored Procedures (SPROC) and ETL processes across Bronze and Silver layers.
• PySpark / SQL development and maintenance of Views
• Optimization of SPROC to reduce load, refresh, or cost
• PySpark / SQL discovery and manipulation of existing code to cleaner, modern code

Requirements

• Proven experience as a Database Engineer.
• Strong knowledge of SQL Server / SQL MI (Oracle, MySQL, or other relational databases is a plus).
• Knowledge of Azure IaaS & PaaS, with stronger emphasis on Azure data services.
• Knowledge of Azure Data Factory.
• Experience in data integrations, ETL pipelines, or transformative data architectures, including modern platforms such as Microsoft Fabric and OneLake.
• Experience with ITSM, CRM, Financial, and SharePoint systems.
• Experience in performance tuning and query optimization.
• Proficiency in backup and recovery methods (preferred).
• Ability to troubleshoot complex database and data pipeline issues.
• Excellent problem-solving and analytical skills.
• Experience with Azure cloud-based database and data services.
• Knowledge of scripting languages (e.g., PowerShell, Python, etc.).
• Familiarity with data warehousing concepts

Bell Techlogix is an equal opportunity employer. We encourage diversity and welcome applications from candidates of all backgrounds.

Note: The above job description is intended to describe the general content of and requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.