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Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["EG"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-18T01:33:35Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":58},"description":"Key Responsibilities\nData Architecture Design: Contribute to the design of scalable and secure data solutions, ensuring alignment with business and technical needs.\nETL/ELT Pipeline Development: Develop and optimize efficient pipelines to ingest, transform, and load data from diverse sources into structured formats for analytics.\nData Source Analysis: Analyze structured and unstructured data sources, recommending strategies for ingestion, processing, and classification.\nData Layer Development: Assist in building a robust data layer that supports both batch and real-time processing.\nData Ingestion & Cleansing: Implement strategies for validating and cleansing data to ensure quality and compliance with governance policies.\nQuery Optimization: Write and optimize SQL queries to improve performance and efficiency across large datasets.\nData Migration: Support migration projects from legacy systems to cloud platforms, ensuring accuracy and minimal downtime.\nPerformance Monitoring: Monitor data workflows, troubleshoot bottlenecks, and propose improvements.\nCollaboration: Work closely with analysts, scientists, and business teams to translate requirements into data models.\n Data Governance & Security: Apply governance standards and security best practices, ensuring compliance with regulations (e.g., GDPR).\n Continuous Learning: Stay updated on emerging tools and practices, contributing to team innovation and improvement.\nQualifications\n4+ years of experience in data engineering or related roles.\nStrong knowledge of SQL, relational databases, and query optimization.\nHands-on experience with ETL/ELT tools and cloud platforms (AWS, Azure, or GCP).\nFamiliarity with data governance, security, and compliance frameworks.\nSolid understanding of batch and real-time data processing.\nCollaborative mindset with ability to work across technical and business 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