Job Description
- Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes.
- Develop scalable and efficient data architectures that support large-scale data processing and analytics workloads.
- Ensure high performance, security, and compliance within Azure data solutions.
- Know various techniques (lakehouse, warehouse) and have experience implementing them.
- Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory. Should have deep knowledge and hands-on experience with these Azure Data Services.
- Ideally, knowledgeable and experienced with Microsoft Fabric.
- Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions.
- Experience with data governance, d...
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