Data Engineer (AMI)

• Designs, builds, and maintains scalable data infrastructure supporting AMI systems. • Develops and manages data pipelines integrating multiple data sources into AMI platforms. • Ensures data quality, consistency, availability, and performance for AMI monitoring and analytics teams. • Designs, optimizes, and maintains databases capable of handling large-scale metering data volumes. • Supports real-time and batch data processing requirements. • Collaborates with IT, cybersecurity, and operations teams to ensure secure and reliable data flow. • Monitors system performance and resolves data pipeline issues and bottlenecks. • Documents data architecture, workflows, and operational procedures. • Ensures compliance with IT governance, information security, and ISO standards. • Supports disaster recovery and business continuity planning related to data systems. • Performs other duties assigned by management. Qualifications / Certifications: Bachelor’s degree in Computer Science, Information Systems, or a related discipline. Cloud / Data Engineering certification (AWS, Azure, or GCP) Experience : Minimum 9 years of relevant experience in data engineering or similar roles. Key Skills : • Expertise in data pipeline design and development. • Proficiency with databases and big data technologies (Hadoop, Spark). • Strong analytical, problem-solving, and system optimization skills.. • Written and Spoken English is essential; Arabic is preferred. Working Conditions : Office-based technical role with coordination across IT and operations teams.