Data Engineer (AMI)

Description

Summary: Designs, builds, and maintains data infrastructure for AMI data collection, processing, storage, and analytics, ensuring data availability, performance, scalability, and reliability. Highlights: 1. Designs and builds scalable data infrastructure for AMI systems. 2. Ensures data quality, consistency, and performance for monitoring and analytics. 3. Collaborates with IT, cybersecurity, and operations for secure data flow. **Data Engineer (AMI)** JOB PURPOSE The role holder is responsible for designing, building, and maintaining the data infrastructure required to support AMI data collection, processing, storage, and analytics. The role ensures data availability, performance, scalability, and reliability for operational and analytical users. CORE RESPONSIBILITIES * 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. EDUCATION, EXPERIENCE \& SKILLS 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. Job Type " Office\-based technical role with coordination across IT and operations teams. Work Location: In person