Key Responsibilities: - Design, build, and maintain data pipelines and ETL processes using Azure services. - Utilize SQL, Python, and Pyspark for data processing and transformation tasks. - Implement data storage solutions using Azure Fabric and ensure efficient data retrieval. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Optimize data workflows to enhance performance and scalability. - Monitor and troubleshoot data pipeline issues, providing timely resolutions. - Ensure data security and compliance with organizational standards. Qualifications: - Proven experience as a Data Engineer with a strong background in Azure technologies. - Proficiency in SQL, Python, and Pyspark for data manipulation and analysis. - Familiarity with Azure Fabric and cloud-based data solutions. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration abilities.