About this role
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.
Key Responsibilities
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.
Bachelor’s degree in Computer Science or equivalent.Minimum 5 years of experience in a similar role.Strong expertise in:Hadoop Ecosystem & Data Lake OperationsBig Data Services & Query EnginesSecurity & Access Control in Distributed EnvironmentsMonitoring, Automation & Platform Lifecycle ManagementProven 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.