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7.0 - 12.0 years

10 - 20 Lacs

hyderabad

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Role & responsibilities Key Responsibilities Design, develop, and maintain scalable big data pipelines for both batch and real-time data ingestion. Build and optimize stream-processing applications using Apache Flink, Kafka Streams, or similar frameworks. Work on distributed data technologies such as Hadoop, MapReduce, Spark, and Kafka to handle large-scale data processing. Implement best practices in data engineering, ensuring performance, reliability, and security. Collaborate with cross-functional teams to support data-driven applications and analytics use cases . Leverage cloud platforms (AWS, Azure, GCP) to deploy and scale data solutions. Key Skills Required Strong Software Engineering background with proficiency in at least one of the following: Java, Scala, Python . Hands-on experience with distributed data technologies Hadoop, Spark, Kafka, Flink, etc. Expertise in designing and implementing real-time and batch ingestion pipelines . Proven track record in building streaming data solutions (Apache Flink, Kafka Streams, or others). Practical experience with Cloud Computing Platforms : AWS / Azure / GCP . Strong problem-solving and debugging skills. Preferred candidate profile Immediate Joiner

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