Job Title

Work Experience:2 to 5 Years Job Location:Bangalore Work Mode:Hybrid Shift Timing:Rotational Shifts Must Have Skills:SQL, Python, Spark, SCALA, Kafka, Production SupportRole Summary: The purpose of this role is to optimize, maintain, and provide support for Big Data applications. The ideal candidate should be adaptable to evolving open-source technologies and possess strong knowledge of cloud services and DevOps tools. You will be responsible for providing end-to-end technical support (L1, L2, L3) for customers, along with implementing enhancements and resolving issues.Responsibilities: Provide technical support to maintain high availability, security, performance, and reliability across multiple production applications. Use open‑source tools and technologies while developing scripts and automation to enhance operational efficiency. Support continuous improvement by managing systems, embracing frequent deployments, and enhancing production applications. Implement and maintain automation solutions to streamline recurring Level 1 and Level 2 operational tasks. Collaborate across teams effectively with a focus on business outcomes and proactive issue resolution.Technical Experience: 2–3 years of hands‑on experience in the Hadoop ecosystem with strong knowledge of Hive, Impala, Sqoop, Oozie, HDFS, Kafka, and distributed computing concepts. Proficient in Java/Scala, MapReduce, Spark, along with solid Shell scripting and Linux expertise. Familiar with databases such as Oracle, HBase, and Cassandra, with added advantage of experience in Cloudera CDP (including CDH‑to‑CDP migration). Strong debugging ability using application/system logs, with the capability to manage production environments and work effectively under pressure. Excellent communication and stakeholder engagement skills, with leadership traits—proactive, self‑motivated, quick learner, and able to guide team members.Educational Qualification:Bachelor’s degree in Information Technology, Computer Science, or Engineering.