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Role: Data Engineer with grid Data Management platforms experience
Location: Bucharest, Romania (Hybrid)
Type: Permanent role
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.
Preferred Qualifications:
- 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.
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