data engineer in big data infrastructure

Inetum is a European leader in digital services, providing solutions that support business and public-sector performance, innovation, digital transformation, and the common good.

• 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 the Hadoop ecosystem and data lake operations;
• Strong expertise in big data services and query engines;
• Strong expertise in security and access control in distributed environments;
• Strong expertise in monitoring, automation, and platform lifecycle management;
• Proven ability to diagnose and resolve complex issues in big data environments;
• Strong communication skills for collaboration with cross-functional teams;
• English proficiency at B2-C1 level;
• Nice to have: Big Data certifications such as Cloudera, familiarity with Kafka, NiFi, or Flume for ingestion pipelines, knowledge of ITIL processes for incident and change management.

• No conditions specified