We are seeking a highly skilled Cloud Data Engineer with strong expertise in Microsoft Azure data services to join our team. The ideal candidate will have hands-on experience in building and managing modern cloud-based data solutions, leveraging Azure Data Factory, Synapse Analytics, Data Lake Storage, and Databricks. This role requires excellent communication, stakeholder management, and presentation skills, along with a strong ability to collaborate in a team environment. Key Responsibilities Design, build, and maintain scalable data pipelines and data integration workflows using Azure Data Factory and Databricks. Work with Azure Synapse Analytics and Azure Data Lake Storage to support analytics and reporting requirements. Perform data analysis and develop SQL-based transformations to ensure high-quality, reliable data outputs. Write efficient PySpark code to handle large-scale data processing and transformations. Ensure adherence to data governance principles and best practices for data quality, security, and compliance. Collaborate closely with cross-functional teams to gather requirements, propose solutions, and deliver business value. Prepare and deliver clear, compelling presentations and reports for stakeholders. Contribute to knowledge sharing and documentation to support ongoing development and operational excellence. Key Skills & Qualifications Microsoft Certified: Azure Data Engineer Associate or equivalent certification. Proven experience with Azure data services: Azure Data Factory, Synapse Analytics, Data Lake Storage. Hands-on expertise with Databricks, PySpark, and SQL. Strong understanding of data governance principles and best practices. Ability to analyze complex datasets and present insights effectively. Excellent slide writing, communication, and presentation skills. Strong stakeholder management capabilities and a collaborative mindset. Highly articulate, detail-oriented, and a proactive problem solver.