Azure Data Engineer

Job Summary: We are looking for a highly skilled Azure Data Engineer with experience in building and managing scalable data pipelines using Azure Data Factory, Synapse, and Databricks . The ideal candidate should be proficient in big data tools and Azure services, with strong programming knowledge and a solid understanding of data architecture and cloud platforms. Key Responsibilities: Design and deliver robust data pipelines using Azure-native tools Work with Azure services like ADLS, Azure SQL DB, Cosmos DB, and Synapse Develop ETL/ELT solutions and collaborate in cloud-native architecture discussions Support real-time and batch data processing using tools like Kafka, Spark, and Stream Analytics Partner with global teams to develop high-performing, secure, and scalable solutions Required Skills: 4 years to 7 years of experience in Data Engineering and Azure platform Expertise in Azure Data Factory, Synapse, Databricks, Stream Analytics, PowerBI Hands-on with Python, Scala, SQL, C#, Java and big data tools like Spark, Hive, Kafka, EventHub Experience with distributed systems, data governance, and large-scale data environments Apply now to join a cutting-edge data engineering team enabling innovation through Azure cloud solutions.