Intermediate Data Engineer responsible for building scalable data architecture on Azure. Leading data ingestion and integration efforts for the Digital Regulatory Assurance System.
Responsibilities
Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure
Lead the development of data ingestion, transformation, and integration pipelines
Work with the Data Architect to manage data lakes and structured storage solutions
Integrate data from diverse source systems using APIs, connectors, and custom scripts
Develop and maintain robust data models and semantic layers
Build and optimize data workflows using Python and SQL
Design secure data services and APIs
Monitor and troubleshoot data pipelines and integrations
Utilize AI and automation tools to streamline workflows
Requirements
Experience as a Data Engineer or similar role
Proficiency in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Strong knowledge of Python and SQL
Familiarity with data governance practices
Understanding of cloud-native and hybrid data architecture
Ability to monitor and troubleshoot data pipelines
Knowledge of compliance standards (e.g., FOIP, GDPR) and role-based access controls
Familiarity with APIs and data integration techniques.
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