Azure Data Engineer

As a skilled Data Engineer, you will be responsible for developing and supporting cloud-based data platforms to facilitate advanced analytics, data science, and reporting. Your tasks will involve integrating multiple data sources, optimizing data models, and constructing robust ETL pipelines on Azure. Key Responsibilities: - Design, build, and maintain cloud data pipelines and models using Azure - Integrate on-prem and cloud-based data sources - Build and optimize data models for performance and scalability - Use Azure SQL, Data Factory, Databricks, and Data Lake for ETL workflows - Develop dashboards and reports in Power BI - Implement CI/CD pipelines using Azure DevOps or GitHub Actions - Create and maintain data dictionaries and metadata using Azure Purview - Collaborate with data scientists, analysts, and business teams - Ensure best practices in security, performance, and data governance Qualifications: - Bachelors or Masters in Data, Computer Science, or related fields - 3-6 years of experience in data engineering roles - Azure certifications (preferred, not mandatory) - Prior experience in mining or large-scale operations is a bonus Role Overview: You will be developing and supporting cloud-based data platforms for advanced analytics, data science, and reporting, with a focus on integrating data sources, optimizing data models, and building ETL pipelines on Azure. (ref:hirist.tech),