We are seeking an experienced Hadoop Engineer with hands-on expertise in Big Data ecosystems, including Hadoop, Kafka, and HBase. The role involves administration, performance tuning, and supporting cloud-based Hadoop platforms to ensure reliable, high-performing data solutions for customers.

Required Technical / Functional Skills

• Big Data and Hadoop Ecosystem (HDFS, Hive, Spark, YARN)
• Kafka for real-time data streaming
• HBase for NoSQL data management
• Experience with Cloud Era, AWS, and Hortonworks HDP/HDInsight

Roles & Responsibilities

• Perform Hadoop administration and support HDInsight product teams.
• Provide end-customer support by resolving incidents and ICMs.
• Run prototypes and migrate Big Data workloads.
• Optimize and tune performance for Spark, Hive, and Hadoop jobs.
• Troubleshoot production issues, identify root causes, and implement mitigations.
• Build tools and services to improve debuggability and supportability.
• Monitor cluster health and ensure availability for top customers.
• Collaborate with internal teams to improve processes and operational efficiency.

Preferred Skills

• Strong problem-solving and analytical skills.
• Experience with cloud-based Big Data deployments and cluster management.
• Ability to work closely with product and customer teams to resolve complex issues.

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