Design and implement Azure data solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
Develop and implement data integration processes using Azure Data Factory.
Extract data from various sources, transform it, and load it into data warehouses or data lakes
Create data processing workflows and pipelines to support data analytics and machine learning applications.
Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.
Monitor and optimize data pipelines and database performance to ensure data processing efficiency.
Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.
Document data engineering processes, data models, and pipelines to ensure transparency and maintainability.
Skills
Bachelor's degree Computer Science or a related field.
5+ years in data and analytics, focused on Azure data and analytics solutions.
Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake
Software development and scripting languages, ETL tools, Spark, SSIS, MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
Experience with cloud-based data migration.
Financial Services - Capital markets, Fixed Income is a plus.
Microsoft Fabric experience is a plus.
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LI-JT1
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