Vacancy Description
- Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions.
- Discover and Integrate organization wide data sources
- 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.
- Provide technical leadership to the team; mentor junior engineers and contribute to talent development.
- Work closely with project managers and architects to ensure timely and quality delivery.
- Participate in environment provisioning, optimiz...
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