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Inetum is seeking a seasoned Big Data Engineer to join our team and support the operations of our Hadoop-based data lake environments. This is a critical role for ensuring the performance, reliability, and security of our big data infrastructure.
Job Responsibility:
Operate, monitor, and support Hadoop-based data lake platforms
Provide L3 incident response, deep troubleshooting, and performance tuning for big data components
Ensure data integrity, replication, and capacity management within HDFS clusters
Develop and automate monitoring and alerting for service health and node performance
Collaborate with platform and data teams to onboard new workloads with optimal resource allocation
Apply patches, upgrades, and configuration changes to maintain platform security and stability
Manage Kerberos authentication, Ranger/Sentry policies, and TLS encryption
Work with storage, network, and security teams to optimize throughput and access controls
Maintain cluster documentation and share knowledge across teams
Requirements:
Bachelor’s degree in Computer Science or equivalent
Minimum 5 years of experience in a similar role
Strong expertise in Hadoop Ecosystem & Data Lake Operations, Big Data Services & Query Engines, Security & Access Control in Distributed Environments, Monitoring, Automation & Platform Lifecycle Management
Proven ability to diagnose and resolve complex issues in Big Data environments
Strong communication skills to collaborate with cross-functional teams
English proficiency: B2-C1 level
Nice to have:
Big Data certifications (e.g., Cloudera)
Familiarity with Kafka, NiFi, or Flume for ingestion pipelines
Knowledge of ITIL processes for incident and change management
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