Data Engineer (8 Positions)- Arabic Speakers due to client restrictions

Location: Riyadh, KSA

Position Objective

Design, develop, and maintain efficient data pipelines and infrastructure to enable data-driven decision-making for business and analytical applications. Ensure high-quality, accessible data through robust ETL processes, database management, and data warehouse integration, supporting actionable insights for stakeholders

Job Description & Responsibilities

• Design and execute ETL processes using tools like Informatica to extract, transform, and load data from diverse sources into data warehouse
• Build and maintain database structures and schemas to support efficient data storage and retrieval
• Write and optimise complex SQL queries, linking multiple data sources for analysis and reporting.
• Ensure data quality through validation, cleansing, and modelling techniques to meet business needs.
• Link and upload data to data warehouses, ensuring seamless integration and performance.
• Format and prepare data for use in BI tools to enable effective visualisation and analytics.
• Collaborate with data analysts, BI developers, and stakeholders to deliver scalable data solutions.
• Monitor and troubleshoot data pipelines to ensure reliability, scalability, and performance.
• Document data processes, schemas, and workflows to support team collaboration and compliance.

Qualifications & Experience.

• Bachelor’s degree in Computer Science, Information Technology, or a related field; a Master’s degree is a plus
• ETL Expertise (Mandatory): 5+ years of data engineering experience, with hands-on expertise designing and executing ETL processes using Informatica.
• SQL Mastery (Mandatory): Advanced proficiency in writing and optimising complex SQL queries for data analysis and linking multiple sources.
• Data Warehouse Integration (Mandatory): Proven experience linking and uploading data to data warehouses, ensuring seamless integration and performance.
• Experience building and optimising database schemas and structures.
• Strong understanding of data quality practices and data modelling techniques.
• Ability to format data for BI tools to support analytics and visualisation.
• Familiarity with additional ETL tools (e.g., Talend, Apache NiFi) or cloud platforms (e.g., AWS, Azure) is a plus.
• Passion for building scalable, data-driven solutions in a dynamic environment.

Minimum 5 years and Maximum 8-10 years only

للتقديم الان