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.
TPBN1_UKTJ