Big Data Engineer

• Manage the administration, configuration, and maintenance of Cloudera-based Big Data platforms.
• Handle Level 2 troubleshooting and conduct root cause analysis (RCA) for operational incidents.
• Execute deployment, patching, upgrades, and system configurations based on operational requirements.
• Support Big Data cluster implementation, performance tuning, and capacity management.
• Collaborate with L1, L3 support teams, and relevant stakeholders to resolve technical issues.
• Prepare technical documentation, Standard Operating Procedures (SOPs), and operational reports.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related field.
• 1–3 years of experience as a Big Data Engineer, System Engineer, or in a similar role.
• Strong proficiency in Linux administration and command-line interfaces.
• Hands-on experience in maintaining microservices or backend services.
• Solid understanding of Big Data platforms, distributed systems, and data pipelines.
• Proven analytical skills and strong problem-solving capabilities.
• Hands-on experience in administering Cloudera platforms (CDP/CDH).
• Proficiency and practical experience with HDFS, Hive, Impala, Spark, Kafka, YARN, HBase, Phoenix, NiFi, and Cloudera Manager.
• Demonstrated experience in installation, configuration, upgrading, patching, and performance tuning for Big Data clusters.
• Ability to perform complex troubleshooting and root cause analysis (RCA).
• Ability to craft clear technical documentation and SOPs.
• Strong communication skills with a proven track record of cross-functional team collaboration.