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3 semanas atrás
Cloud Data Engineer Opportunity
At our organization, we believe that innovation is key to success. We're seeking an experienced Cloud Data Engineer to help drive innovation in data engineering and cloud technologies.
- Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).
- Implement and manage secure data storage solutions using Azure Data Lake Storage (ADLS) Gen 2.
- Develop and maintain high-performance data pipelines using Azure Synapse Analytics.
- Utilize Azure Stream Analytics for real-time data processing and analytics.
- Ensure data quality and integrity through effective data governance practices.
- Implement CI/CD pipelines using Azure DevOps for automated build and deployment.
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
- Stay up to date with the latest industry trends and best practices in data engineering and cloud technologies.
- Required Skills
- Experience with Azure Functions for serverless computing.
- Knowledge of Azure Logic Apps for workflow automation.
- Experience with Azure Stream Analytics for real-time data processing.
- Familiarity with Azure API Management (APIM) for managing APIs.
- Understanding of Microsoft Purview for data governance and compliance.
- Proficiency in PySpark for data processing and transformation.
- Strong experience with Azure Data Factory (ADF) for data integration and ETL processes.
- Strong experience with Azure Synapse Analytics for ETL processes.
- Expertise in Azure Data Lake Storage (ADLS) Gen 2 for scalable data storage.
- Experience with CI/CD practices and tools, particularly Azure DevOps.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
