Azure Data Engineer
Overview
As an Azure Data Engineer, you will be responsible for designing, developing, and deploying scalable data solutions using Azure native services, with a strong focus on Azure Databricks. You will play a key role in building robust data pipelines, optimizing data architectures, and enabling advanced analytics for business-critical applications.
Key Responsibilities
Design & Build Data Pipelines: Develop, manage, and optimize robust and reliable data pipelines using Azure Data Factory, Azure Databricks (PySpark/Scala), and other Azure services.
Databricks Implementation: Architect and implement end-to-end data processing solutions on Azure Databricks, including batch and streaming data ingestion, transformation, and integration.
Data Modeling & Architecture: Design and build scalable data models (RDBMS and NoSQL) and architect data solutions with high performance, reliability, and security.
Productionizing Analytics: Bring data and analytics products to production, ensuring solutions are scalable, maintainable, and aligned with business requirements.
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