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Data Engineers

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As an experienced candidate, you should have a strong background in developing and deploying ETL solutions on Azure cloud using services like ADF, Notebooks, Synapse analytics, Azure functions, and other relevant services. Additionally, you should be familiar with Azure Purview for metadata management, Data Governance, Data Lineage, Data Catalog, etc. Your knowledge of Azure RBAC and IAM is crucial as it demonstrates your understanding of access controls and security on Azure Cloud. It is important that you stay updated with Microsoft's vision and roadmap concerning the latest tools and technologies in the market. Being well-versed in DevOps on an Azure platform will be advantageous for this role. Exposure to Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals, and supporting use cases in the industry will be an added advantage. Having Microsoft certifications such as DP600, DP203, DP900, AI102, AI900, etc., will be beneficial for your application. Moreover, hands-on experience with Microsoft Power BI and the ability to create reports, dashboards, and generate insights for business users are essential for this position. In summary, the key responsibilities for this role include: - Developing and deploying ETL solutions on Azure cloud - Familiarity with Azure Purview for metadata management, Data Governance, Data Lineage, Data Catalog - Knowledge of Azure RBAC and IAM - Staying updated with Microsoft's latest tools and technologies - DevOps on an Azure platform - Exposure to Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals, and industry supporting use cases - Holding Microsoft certifications role-based - Hands-on experience with Microsoft Power BI to create reports/dashboards and generate insights for business users,