Daimler Truck Innovation Center India seeks a DTICI Engineering Data Analysis Engineer to lead data-driven innovation. We are looking for a skilled and motivated qualified with hands-on experience in Kubernetes, data engineering, and analytics platforms. The ideal candidate will have solid exposure to operating containerized workloads in production, building and maintaining data pipelines, and supporting analytics and AI/ML use cases. This role requires close collaboration with internal and external stakeholders and a robust focus on reliability, observability, and data-driven decision-making.
Operate and manage Kubernetes clusters in production environments, ensuring high availability, performance, and reliability
Troubleshoot and analyze pod failures, performance issues, and deployment challenges using kubectl, logs, metrics, and events
Work with Kubernetes resources such as Pods, Deployments, StatefulSets, and CronJobs
Build, maintain, and enhance ETL pipelines for large-scale data processing




Develop and maintain dashboards and monitoring solutions using Grafana (preferred) and/or Power BI
Monitor Kubernetes clusters using tools like Prometheus and Grafana
Implement and support centralized logging solutions such as ELK, EFK, or Loki
Use Python for data analysis, feature engineering, data wrangling, and exploratory data analysis (EDA)
Contribute to the building, training, and deployment of AI/ML models
Process and analyze large-scale datasets using Apache Spark and related libraries
Collaborate with internal teams and external stakeholders to gather requirements and deliver solutions
Work with ServiceNow or similar ticket management tools to manage incidents, requests, and changes
Prepare analysis, reports, and presentations using Microsoft Excel and PowerPoint
Proven experience operating Kubernetes in production
Strong understanding of container orchestration concepts and Kubernetes architecture
Hands-on experience with Python

📌 Dtici Engineering Data Analysis Engineer Bengaluru
🏢 Daimler Truck
📍 Bengaluru