Job Description
Responsibilities
- Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions
- Design and implement modern data warehouse (DWH) and lakehouse architectures using OneLake, Fabric, and other Azure components
- Develop end-to-end ETL/ELT data pipelines using Microsoft Fabric, Data Factory, and Databricks
- Manage batch and real-time data ingestion from multiple structured and unstructured sources
- Lead the design of metadata-driven ingestion and processing frameworks
- Implement data governance using Azure Purview including metadata management, data cataloging, and lineage tracking
- Work closely with project managers and architects to ensure timely and quality delivery
- Participate in environment provisioning, optimization, and monitoring of the Azure Fabric platform
- Experience working on large-scale cloud-based data warehouses and data lakes ...
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