Data Streaming Engineer

About Company :

global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Job Description:

As a Data Streaming Engineer, you will be building and maintaining robust, scalable Kubernetes-based event streaming platforms. You will play a pivotal role in ensuring the reliability and efficiency of our production and development environments, enabling smooth deployments and accurate event reporting.

Key Responsibilities:

Kubernetes Infrastructure Management:

•             Design, provision, and maintain Kubernetes clusters across various environments (cloud, on-premises, hybrid).

•             Monitor cluster performance and optimize resource utilization.

•             Troubleshoot issues and implement solutions to ensure high availability and stability.

Splunk Operations & Engineering:

•             Manage Splunk infrastructure including indexers, search heads.

•             Troubleshoot ingestion issues, latency, and indexing delays across distributed environments.

•             Develop and maintain SPL queries, saved searches, alerts, and dashboards.

•             Perform capacity planning, performance tuning, and upgrade planning for Splunk components.

•             Implement data onboarding strategies and field extractions for new log sources.

Cribl Pipeline Management:

•             you Cribl experience is advantageous but not required.

•             Design, build, and optimize Cribl pipelines for log routing, transformation, filtering, and enrichment.

•             Integrate Cribl with various data sources and destinations.

•             Automate pipeline deployments and configuration using CI/CD and GitOps practices.

Production Support:

•             Participate in incident response and resolution, ensuring minimal downtime and disruption to services.

•             Continuously analyze and improve the performance, reliability, and security of production environments.