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
