Lead Data Engineer Position
We are seeking an experienced Lead Data Engineer to join our team and transform data warehouses into modern, cloud-based analytics platforms.
The successful candidate will have a proven track record of managing and optimizing complex reporting environments, driving upgrades to Microsoft Fabric in the cloud, and working with diverse data sources.
Key Responsibilities:
* Manage and optimize SSAS, SSIS, and SSRS reporting environments.
* Drive the upgrade of on-premises data warehouses to Microsoft Fabric in the cloud.
* Work with diverse data sources (REST APIs, Excel, JSON, Parquet, Delta).
* Design and develop data pipelines, architectures, and integration solutions.
* Collaborate with stakeholders for clear technical and non-technical documentation.
Requirements:
* 7+ years' experience in a similar Data Engineering role.
* Expertise in Microsoft Fabric, Synapse, or Data Factory.
* Strong SQL/T-SQL skills.
* Experience with data warehouses, data lakes, and lakehouses.
Preferred Skills:
* Python or PySpark skills.
* DAX and Power Query M experience.
* Traditional ETL/ELT and report development skills (SSIS, Power BI, SSRS).
* Machine Learning deployment experience.
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