ETL Developer Jobs in Riyadh

• 5 - 7 Years
• Riyadh - Saudi Arabia

Design and implement data solutions for core banking systems using T24 and Cortex, ensuring data integrity, governance, and performance optimization.

• 6 - 12 Years
• Riyadh - Saudi Arabia

Lead AI and Advanced Analytics squads, manage stakeholder collaboration, and ensure successful model operationalization with strong machine learning and communication skills.

• 0 - 1 Year
• Riyadh , Jeddah - Saudi Arabia

Seeking a curious individual with SQL knowledge and a bachelor's degree in IT, interested in Data Warehousing and Business Intelligence.

• 7 - 10 Years
• Riyadh - Saudi Arabia

This role involves managing sales lifecycle, building relationships with Data Leaders, and driving revenue growth in Data and AI services.

• 0 - 2 Years
• Riyadh - Saudi Arabia

Assist in data governance, document data flows, explore new technologies; requires basic database knowledge, problem-solving skills, and eagerness to learn.

• 1 - 7 Years
• Riyadh - Saudi Arabia

The role involves data integration and engineering using Informatica and GCP services, requiring strong SQL, ETL design, and data modeling skills.

• 7 - 9 Years
• Riyadh - Saudi Arabia

Manage data engineering projects, develop data pipelines, ensure data quality, and support team collaboration while possessing relevant qualifications and experience.

• 3 - 5 Years
• Riyadh - Saudi Arabia

Design and maintain scalable data pipelines, optimize ETL processes, collaborate on machine learning initiatives, and ensure data quality and performance.

• 5 - 7 Years
• Riyadh - Saudi Arabia

The role involves designing and maintaining data infrastructure, developing ETL pipelines, ensuring data quality, and supporting business intelligence initiatives.

• 5 - 7 Years
• Riyadh - Saudi Arabia

Responsible for designing scalable data pipelines, enforcing data contracts, collaborating with machine learning engineers, and ensuring data security and compliance.

• 3 - 5 Years
• Riyadh - Saudi Arabia

Architect and manage data solutions, build data pipelines in Google Cloud, and ensure data accessibility while collaborating with stakeholders and documenting processes.