Assistant Manager - Azure Data Engineering

KPMG India is looking for Assistant Manager - Azure Data Engineering to join our dynamic team and embark on a rewarding career journey. Client Advisory Services : Engage with clients to understand their business requirements, data challenges, and objectives. Provide advisory services on leveraging Azure data services to meet business goals. Azure Data Solution Design : Collaborate with clients and internal teams to design and architect scalable and efficient data solutions on Azure. Develop architecture diagrams, data models, and technical documentation. Data Ingestion and ETL Processes : Lead or support the implementation of data ingestion and ETL (Extract, Transform, Load) processes on Azure. Utilize Azure Data Factory, Azure Databricks, and other relevant services. Data Storage and Management : Design and implement data storage solutions using Azure services such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, etc. Ensure data quality, security, and compliance with best practices. Big Data and Analytics : Implement and optimize big data and analytics solutions using Azure services like Azure Synapse Analytics, HDInsight, and Azure Analysis Services. Develop and enhance data analytics capabilities for clients. Security and Compliance : Provide guidance on security best practices and assist in implementing security controls for Azure data solutions. Ensure compliance with relevant industry standards and regulatory requirements. Cost Management : Optimize Azure costs by analyzing resource usage, recommending cost - saving strategies, and implementing billing solutions. Develop and implement budgeting and forecasting for Azure resources. Training and Documentation : Provide training sessions to clients and internal teams on Azure data services and best practices. Develop and maintain documentation for Azure data implementations and configurations. Collaboration and Communication : Collaborate with cross - functional teams, including developers, infrastructure teams, and business analysts. Communicate technical concepts and recommendations to non - technical stakeholders. Troubleshooting and Support : Troubleshoot issues related to Azure data services and work with technical support when necessary. Provide assistance during critical incidents and ensure timely resolution.