About Kagool We are a fast-growing IT consultancy specializing in the transformation of complex Global enterprises that use SAP. We are looking for hard working individuals to help deliver for our global customer base. We embrace the opportunities of the future and work proactively to make good use of technology. As you can imagine, this means that we have a vibrant and diverse mix of skills and people making Kagool a great place to work. Job Summary We are looking for an experienced Senior Data Engineer with 7+ years of experience in designing, developing, and supporting scalable data engineering solutions. The ideal candidate must have strong hands-on experience with Apache Spark, Py Spark, Kafka, Spark Structured Streaming, Python, SQL, and Microsoft Azure. The candidate should have practical experience implementing and managing Kafka-based streaming solutions on Azure and working with real-time data processing pipelines. Azure experience is mandatory for this role. Key Responsibilities Design, develop,
and maintain scalable batch and real-time data pipelines using Apache Spark and Py Spark. Develop and support Kafka-based real-time streaming pipelines on Microsoft Azure. Implement real-time data processing using Spark Structured Streaming. Work with Kafka topics, partitions, consumer groups, offsets, retention, and message delivery mechanisms. Implement Kafka producers and consumers for high-volume data ingestion and processing. Integrate Apache Kafka with Azure data services and downstream data platforms. Develop data transformation, cleansing, aggregation, and enrichment processes. Implement checkpointing, fault tolerance, error handling, retry mechanisms, and recovery strategies for streaming applications. Design and optimize Spark jobs for performance, scalability, and productive resource utilization. Work with Azure data services such as Azure Databricks, ADLS Gen2, Azure Event Hubs, Azure Data Factory, and Azure Synapse Analytics. Develop SQL queries and wo
📌 Senior Data Engineer (India)
🏢 Kagool
📍 India