Role: Customer Support Engineer - GridOS (Kubernetes + Kafka)
Experience with GridOS or other grid data management platforms.
Knowledge of utility operations, grid modeling, and distributed energy resource management.
Familiarity with real-time data streaming and IoT integration.
Key Responsibilities:

• Design and implement GridOS Data Fabric solutions to streamline data access and management for utilities.
• Develop data integration pipelines that unify operational (OT), informational (IT), and external data sources (e.g., weather, traffic).
• Configure and manage metadata catalogs to ensure effective data governance, security, and compliance.
• Collaborate with business and IT teams to enhance data discovery, quality, and utilization across the enterprise.
• Support real-time and batch data processing using big data technologies and cloud platforms.
• Optimize data workflows to enable AI, machine learning, and advanced analytics applications.
• Provide technical support and troubleshooting for GridOS Data Fabric deployments.
• Stay up to date with advancements in grid modernization, data management, and energy analytics.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3+ years of experience in data management, integration, or analytics for utilities or energy sectors.
• Strong knowledge of data fabric architectures, metadata management, and data governance principles.
• Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka).
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks.
• Strong problem-solving skills and ability to work in a cross-functional environment.