Job Title: Cloud Data Engineering Specialist
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We are seeking a highly skilled Cloud Data Engineering Specialist to join our team. As a key member of our data engineering group, you will be responsible for designing, developing, and maintaining large-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, and other cloud-based technologies.
Key Responsibilities:
* Data Pipeline Development: Design, develop, and maintain complex data pipelines using Azure Data Factory (ADF) to integrate and transform data from various sources.
* Data Storage and Analytics: Implement and manage scalable data storage solutions using Azure Data Lake Storage (ADLS) Gen 2 and leverage Azure Synapse Analytics for advanced analytics and business intelligence.
* Real-Time Data Processing: Utilize Azure Stream Analytics for real-time data processing and analytics, ensuring timely insights and decision-making capabilities.
* Data Governance and Quality: Ensure data quality and integrity through effective data governance practices, including data validation, data cleansing, and data transformation.
* Collaboration and Communication: Collaborate closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
* Monitoring and Troubleshooting: Monitor and troubleshoot data pipelines to ensure optimal performance, reliability, and scalability.
Requirements:
* Azure Experience: Hands-on experience with Azure Functions, Azure Logic Apps, Azure Stream Analytics, and Azure API Management.
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About the Role:
This is an exciting opportunity for a motivated and experienced Cloud Data Engineering Specialist to join our team and contribute to the design, development, and implementation of large-scale data pipelines and analytics solutions. If you have a passion for cloud-based technologies and data engineering, we encourage you to apply.
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