15 ago
|
GyanSys
|
Argentina
Position Overview
We are looking for a highly skilled Data Engineer with strong end-to-end experience in Microsoft Fabric and Azure Databricks. The adecuado candidate will have deep expertise in data ingestion frameworks, modern data engineering architectures, and the integration of data across Fabric and Databricks environments.
This role will be responsible for designing and implementing scalable data pipelines, ingesting data from multiple sources, mirroring Databricks data into Microsoft Fabric, and enabling analytics through blended Semantic Models and Power BI reports using the Direct Lake format. The position will involve working with a U.S.-based client, so fluent English is mandatory.
Key Responsibilities
Design, develop, and maintain end-to-end data engineering solutions using Microsoft Fabric and Azure Databricks.
Build scalable and reliable data ingestion frameworks to integrate data from multiple sources into Fabric and Databricks.
Develop API-based data ingestion solutions and frameworks within Microsoft Fabric.
Implement data pipelines and transformation processes using Azure Databricks.
Work extensively with Databricks Delta Live Tables (DLT), Auto Loader, and Unity Catalog.
Design and implement data architectures that support data ingestion, transformation, governance, and consumption.
Mirror Databricks data into Microsoft Fabric to enable integrated analytics and reporting.
Develop blended Semantic Models combining data from Fabric and Databricks.
Build and optimize Power BI reports using the Direct Lake format.
Ensure data pipelines are scalable, performant, reliable, and maintainable.
Apply best practices around data quality, governance, security, lineage, and access management.
Collaborate with data architects, BI developers, analysts, and business stakeholders to translate requirements into technical solutions.
Required Skills & Experience
Strong hands-on experience with Microsoft Fabric Data Engineering.
Expert-level experience designing and
📌 Senior Fabric (Argentina)
🏢 GyanSys
📍 Argentina