BigdataDeveloper

* Big data production support Role :- * Client - IBM/DBS * Mode of work - 24/7 Rotational shift (WFO) * Experience - 4-6 years * Location - Hyderabad * N.P - Immediate - 15days * Required skills:- Spark, Scala, Hive, Hadoop, SQL, Unix * Mode of interview F2F * Spark, * Scala, * Hive, * Hadoop, * SQL, * Unix **Requirements** ### Job Summary We are looking for a Big Data Support Engineer with hands-on experience in Hadoop ecosystem technologies to provide production support, monitoring, troubleshooting, and performance optimization of Big Data platforms. The candidate should possess strong analytical and problem-solving skills and be comfortable working in a support environment. ### Key Responsibilities * Provide L2/L3 support for Big Data applications and Hadoop clusters. * Monitor platform health, analyze logs, and proactively identify issues. * Troubleshoot production incidents and perform root cause analysis (RCA). * Support Hadoop ecosystem components such as HDFS, YARN, Hive, Spark, Kafka, Oozie, and Sqoop. * Manage job failures, performance bottlenecks, and data pipeline issues. * Work closely with development and infrastructure teams during deployments and releases. * Perform cluster maintenance, upgrades, patching, and capacity planning. * Create and maintain operational documentation, runbooks, and SOPs. * Participate in on-call support and incident management activities. * Ensure SLA compliance and timely resolution of support tickets. ### Required Skills * Strong experience with Hadoop ecosystem (HDFS, Hive, Spark, YARN). * Good knowledge of Kafka, Sqoop, Oozie, Flume, or NiFi. * Hands-on experience with Linux/Unix administration. * Strong SQL and data analysis skills. * Shell scripting (Bash) and/or Python scripting. * Experience with log analysis and monitoring tools. * Knowledge of Cloudera CDP/CDH or Hortonworks platforms. * Understanding of incident, problem, and change management processes. * Excellent troubleshooting and communication skills. ### Go