Data Engineer
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Job Purpose
To design, build, and maintain scalable data pipelines and
infrastructure that support the collection, storage, transformation, and analysis of data across
the organization. The Data Engineer ensures that reliable, high-quality data is accessible to
business users, analysts, and data scientists to support decision-making and innovation.
ACCOUNTIBILITIES
Design, develop, and maintain robust ETL/ELT pipelines to ingest, process, and transform structured and unstructured data.
Build and manage scalable data infrastructure and storage solutions (e.g., data lakes, data warehouses).
Ensuring data is clean, validated, consistent, and available for analytics, reporting, and machine learning use cases.
Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver appropriate solutions.
Optimize data processing performance and reduce latency through tuning and automation.
Ensure data security, compliance, and governance across all platforms.
Monitor data flows and troubleshoots production issues promptly.
Position Requirements
Educational Requirements: Bachelor of computer science, BIS or any related fields
Special Certification or Training Required: Data Analytics
Required Industry Experience: 1 - 4 years
Technological Requirements: ETL
Language Requirements: Arabic - English
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